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DataScience Introduction |
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00:23:07 |
| Foundations of Data Science & Python Programming |
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Outcomes of Big Data |
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00:19:40 |
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Data Science Basics |
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00:23:47 |
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Big Data Basic Quiz |
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00:00:30 |
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Structured & Unstructured Basics |
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00:09:09 |
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Hadoop made simple |
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00:12:01 |
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Introduction to Mining |
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00:19:16 |
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Octoparse Installation & Live Scraping |
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00:15:16 |
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Data Mining Quiz -1 In Malayalam |
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00:03:00 |
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Introduction to HADOOP |
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00:27:48 |
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Introduction of Data Science |
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00:30:00 |
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What is the difference between a Local file system (LFS) and HDFS? |
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00:52:28 |
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HADOOP Distributed File System |
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00:33:29 |
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HADOOP Yarn |
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00:54:45 |
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Hadoop MapReduce |
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00:33:34 |
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Hadoop Installation and Map Reduce Job Execution DEMO |
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00:40:46 |
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Step by Step Guide : Hadoop 3.3.0 installation and MapReduce Job Execution on Windows |
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00:01:13 |
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Step by step Guide Ubuntu (Linux) virtual machine installation on windows and configure Hadoop |
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00:42:36 |
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Hadoop- MapReduce Practical Assignments |
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00:12:52 |
| Database Management & Data Acquisition |
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SQL-Structured Query Language |
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00:01:06 |
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Apache HIVE – Hadoop Ecosystem Tool |
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00:01:18 |
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Step by Step Guide : Apache HIVE installation using Cygwin on Windows & External Table Creation |
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00:01:14 |
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SQL Quiz – Test your Knowledge |
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Unlimited |
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Hadoop – Test your knowledge |
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00:10:00 |
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Apache HIVE-Practical Assignment |
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00:21:04 |
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Apache HIVE-Practical Assignment -Part 1-Continued |
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00:14:50 |
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HIVE Quiz – Test your Knowledge |
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00:03:00 |
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Apache HBase -Hadoop Ecosystem Tool |
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00:01:05 |
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Step by Step Guide : Apache Hbase installation on Windows & Table Creation |
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00:25:12 |
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Apache HBase Practical Assignment |
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00:38:22 |
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Hadoop Eco System- Other Tools |
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00:56:37 |
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Hadoop Ecosystem Final Exit Mid Term Quiz |
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00:10:00 |
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Apache Spark – Session 1 |
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00:46:48 |
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Apache Spark -Session 2 |
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00:01:11 |
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Apache Spark Programming Guide |
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00:53:31 |
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Apache Kafka Stream processing and DEMO |
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00:39:44 |
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Apache Spark Streaming |
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00:21:18 |
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Python for Apache Spark – pySpark |
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00:01:02 |
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Big Data and Cloud Computing |
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00:43:03 |
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Microsoft Azure Fundamentals and Overview |
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00:52:59 |
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How to Create a New Microsoft Azure Account |
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00:36:46 |
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Azure Subscription Policies ,Resource Groups and Storage Account |
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00:50:05 |
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Microsoft Azure- Working with Data Storage |
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00:50:40 |
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Microsoft Azure – DataBricks |
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00:01:00 |
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Microsoft Azure- Working with Databricks |
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00:52:18 |
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Microsoft Azure SQL |
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00:53:13 |
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Microsoft Azure Synapse Analytics and PolyBase |
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00:01:06 |
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Microsoft Azure Stream Analytics and event hubs |
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00:55:15 |
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Microsoft Azure Data Factory Service – ADF |
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00:01:13 |
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Microsoft Azure Creating a Virtual Machine |
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00:26:32 |
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Microsoft Azure : Securing Data Platforms |
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00:01:03 |
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Microsoft Azure-Monitoring and Troubleshooting Data Storage and Processing |
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00:55:15 |
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Microsoft Azure : Data Engineer Associate Certification Path – Part 1 |
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00:54:24 |
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Microsoft Azure : Data Engineer Associate Certification Path – Part 2 |
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00:54:12 |
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Azure Data Engineer Quiz – Test your Knowledge In Malayalam |
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00:10:00 |
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Microsoft Azure Data Engineer Mock Test |
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00:30:00 |
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How To Be A Big Data Engineer |
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00:46:09 |
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What are the job opportunities in BigData? |
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00:38:48 |
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How to Prepare for a Job Interview |
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00:47:12 |
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What is the attitude to work in the Industry |
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00:33:48 |
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How to Manage Life and Work |
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00:38:32 |
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How to excel in the field |
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00:37:54 |
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Introduction to AI vs ML vs DS |
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00:35:48 |
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Jupyter Notebook and Basic Syntax of Python |
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00:53:54 |
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QUIZ – BASIC SYNTAX |
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00:15:00 |
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Conditionals and Loops |
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00:42:48 |
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Lists and Tuples |
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00:56:48 |
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Strings in Python |
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00:25:08 |
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Dictionary in Python |
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00:47:38 |
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MINI PROJECT: ROCK-PAPER-SCISSORS GAME |
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00:21:27 |
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Functions in Python Part – Part 1 |
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00:46:30 |
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Functions in Python Part – Part 2 |
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00:46:54 |
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MINI PROJECT:SUDOKU SOLVER |
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00:20:35 |
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OOPs Intro,Class and Objects |
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00:29:48 |
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Access Modifiers and Inheritance |
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00:46:02 |
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Method overriding,Encapsulation,Polymorphism and imports |
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00:43:27 |
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Files and Exception Handling |
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00:58:02 |
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Chess with GUI part – Part 1 |
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00:01:46 |
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Chess with GUI part – Part 2 |
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00:52:25 |
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Chess with GUI part-3 |
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00:59:47 |
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Chess with GUI part-4 |
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00:50:41 |
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File reading in Pandas |
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00:42:32 |
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File writing in Pandas |
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00:02:41 |
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Getting into data manipulation Part -1 |
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00:47:39 |
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Getting into data manipulation Part-2 |
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00:56:19 |
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Getting into data manipulation Part–3 |
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00:56:25 |
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Getting into data manipulation Part-4 |
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00:43:15 |
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Advanced data manipulation Part |
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00:32:54 |
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Advance Data Manipulation Part-2 |
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00:48:58 |
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Numpy array manipulation Part – Part 1 |
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00:04:50 |
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Numpy array manipulation Part – Part 2 |
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00:46:15 |
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Numpy array manipulation Part-3 |
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00:44:24 |
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Numpy array manipulation Part-4 |
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00:35:40 |
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Data Visualization with matplotlib Part – Part 1 |
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00:53:54 |
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Data Visualization with matplotlib Part – Part 2 |
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00:36:21 |
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Plotly and Cufflinks part-1 |
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00:44:31 |
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Plotly and Cufflinks Part-2 |
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00:40:42 |
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Visualization with Seaborn Part – Part 1 |
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00:01:19 |
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Visualization with Seaborn Part – Part 2 |
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00:19:18 |
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MySQL |
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00:01:07 |
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SQLite |
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00:48:06 |
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Mongo DB |
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00:01:05 |
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API AND EXECUTION FLOW |
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00:42:48 |
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UNDERSTANDING API BY CREATING CALCULATOR |
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00:51:31 |
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Virat Kohli ODI Career Analysis |
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00:01:17 |
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Virat Kohli Test Career Analysis |
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00:58:10 |
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CRISTIANO RONALDO GOALS DATA |
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00:01:17 |
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FIFA DATA EXPLORATION |
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00:01:34 |
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When Would Virat Ovetake Sachin in ODI |
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00:01:02 |
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MESSI VS RONALDO LEAGUE PERFORMANCE |
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00:01:13 |
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MoneyHeist Data Exploration |
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00:01:36 |
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Breaking Bad EDA and a Glimpse of NLP |
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00:01:36 |
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Disney Movies |
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00:01:05 |
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IMDB 1000 MOVIES |
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00:01:52 |
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Netflix Shows |
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00:59:17 |
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Finance Courses in Udemy |
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00:01:36 |
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IBM PAYMENT HISTORY |
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00:01:09 |
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State aggregate expenditure and personal finance data |
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00:01:19 |
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Loan Approval Data |
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00:01:11 |
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Introduction to Statistics |
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00:01:09 |
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Population and Sampling Techniques |
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00:59:31 |
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Variables and Measurements |
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00:50:52 |
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Measures of Central Tendency and Dispersion |
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00:55:49 |
|
5 Number Summary |
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00:30:24 |
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Gaussian(Normal) Distribution and Z score |
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00:31:11 |
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Log-Normal,Bernauli,Binomial and More Distributions |
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00:43:08 |
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Standardization and Normalization |
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00:44:28 |
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Probability |
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00:01:07 |
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Permutations and Combinations |
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00:50:40 |
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Hypothesis Testing |
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00:01:37 |
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Z-test,t-test and Chi-Square test |
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00:01:13 |
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Covariance ,Pearson’s Correlation and Spearman’s Correlation |
|
00:49:18 |
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Introduction to Machine Learning |
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00:01:50 |
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PROJECT_INTRO |
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00:55:05 |
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Sampling and Data Exploration |
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00:59:54 |
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Data Preperation and Pipeline Setting |
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00:01:21 |
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Model Building ,Evaluation and Presentation |
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00:01:26 |
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Linear Regression |
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00:01:43 |
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R square and Adjusted R Square |
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00:26:38 |
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Linear Regression and R2_Score Practical |
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00:38:33 |
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Ridge and Lasso Regression |
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00:57:03 |
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Ridge and Lasso Regresson Practicals |
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00:51:08 |
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Logistic Regression |
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00:01:03 |
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Confusion Matrix,Precision,Recall and F-Score |
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00:45:38 |
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Logistic Regression,Confusion Matrix practicals |
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00:29:38 |
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Naive Bayes Indepth Intuition |
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00:01:12 |
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ROC AND AUC |
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00:38:50 |
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Naive Bayes ,ROC and AUC Practicals |
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00:56:32 |
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KNN,Euclidean and Manhattan Distance |
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00:44:51 |
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K Means Clustering with Practical |
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00:01:05 |
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Hierarchical and DBSCAN Clustering |
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00:01:35 |
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1.Web Scraping |
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00:01:29 |
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2.Data Gathering From API |
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00:54:10 |
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1. Salary Prediction(Using Flask and Django) |
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00:01:45 |
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Using Flask Framework |
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00:33:04 |
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Using Django Framework |
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00:01:20 |
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2. Admission Prediction |
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00:01:00 |
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3.Drug Classification |
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00:45:40 |
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4.Diabetes Prediction |
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00:39:03 |
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5. Income Prediction |
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00:02:05 |
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6.ForestCoverClassification |
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00:01:32 |
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7.InsuranceFraudClaimDetection |
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00:01:51 |
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8.Iris Flower Classification with Deployment on Heroku |
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00:38:56 |
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Introduction to StreamLit Part – Part 1 |
|
00:01:11 |
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Introduction to StreamLit Part – Part 2 |
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00:01:05 |
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Introduction to StreamLit Part-3 |
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00:53:32 |
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Iris_FLower_Classification Project and Deployment |
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00:46:35 |
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Live Data Dashboard with Deployment |
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00:01:03 |
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Introduction to Business intelligence |
|
00:30:17 |
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Basic Charts and UI |
|
00:41:31 |
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Geographical Maps |
|
00:43:17 |
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Table and Matrix |
|
00:39:11 |
|
Numpy Introduction |
|
00:35:28 |
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Final Test |
|
Unlimited |
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One Dimensional Array Creation |
|
00:31:02 |
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Two dimensional Array Creation |
|
00:24:49 |
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Three Dimensional Array Creation |
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00:01:16 |
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Numpy functions |
|
00:18:29 |
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Knowing JAP |
|
00:03:24 |
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Elaborating JAP |
|
00:07:04 |
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AVODHA Official Malayalam YouTube Channel |
|
00:00:49 |
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All About Chalo INDIA Startup Drive |
|
00:15:43 |