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Advanced Data Science and AI in Malayalam

Course Currilcum

    • Knowing Big Data 00:00:00
    • Outcomes of Big Data 00:00:00
    • Data Science Basics 00:00:00
    • AVODHA Official Malayalam YouTube Channel 00:00:00
    • Regression 00:00:00
    • Structured & Unstructured Basics 00:00:00
    • Hadoop made simple 00:00:00
    • Introduction to Mining 00:00:00
    • Octoparse Installation & Live Scraping 00:00:00
    • Introduction to HADOOP 00:00:00
    • What is the Diffrence Between a local File System LFS and HDFS 00:00:00
    • Quiz-1 00:05:00
    • HADOOP Distributed File System 00:00:00
    • HADOOP Yarn 00:00:00
    • Hadoop MapReduce 00:00:00
    • Hadoop Installation and Map Reduce Job Execution DEMO 00:00:00
    • Step by Step Guide: Hadoop 3.3.0 Installation and Map Reduce Job Execution on Windows 00:00:00
    • Step by Guide Ubuntu(Linux) Virtual Maschine Installation on Windows and Configure Hadoop 00:00:00
    • Hadoop-MapReduce Partical Assignments 00:00:00
    • SQL-Structured Query Language 00:00:00
    • Apache HIVE – Hadoop Ecosystem Tool 00:00:00
    • Step by Step Guide: Apache Hive Installation using Cygwin on Windows & External Table Creation 00:00:00
    • Apache HIVE-Practical Assignment part -1 00:00:00
    • Apache HIVE-Practical Assignment part-2 00:00:00
    • Apache HBase-Hadoop Ecosystem Tool 00:00:00
    • Step by Step Guide: Apache Hbase Installation on Windows &Table Creation Unlimited
    • Apache HBase Practical Assignment Unlimited
    • Hadoop Eco System-Other Tools 00:00:00
    • Apache Spark-Session1 00:00:00
    • Apache Spark-Session2 00:00:00
    • Apache Spark Programming Guide 00:00:00
    • Apache Kafka Stream processing and DEMO 00:00:00
    • Apache Spark Streaming 00:00:00
    • Python for Apache Spark-pySpark 00:00:00
    • Big Data and Cloud Computing 00:00:00
    • Microsoft Azure Fundamentals and Overview 00:00:00
    • How to Create a New Microsoft Azure Account 00:00:00
    • Azure Subscription Policies,Resource Groups and Store Management 00:00:00
    • Microsoft Azure- Working with Data Storage 00:00:00
    • Microsoft Azure – DataBricks 00:00:00
    • Microsoft Azure- Working with Databricks 00:00:00
    • Microsoft Azure SQL 00:00:00
    • Microsoft Azure Synapse Analytics and PolyBase 00:00:00
    • Microsoft Assure Stream Analytics and event hubs 00:00:00
    • Microsoft Azure Data Factory Service – ADF 00:00:00
    • Microsoft Asure Creating a Virtual Maschine 00:00:00
    • Microsoft Azure : Securing Data Platforms 00:00:00
    • Microsoft Azure – Monitoring and Troubleshooting Data Storage and Processing 00:00:00
    • Microsoft Azure: Data Engineer Associate Certification Path- Part 1 00:00:00
    • Microsoft Azure:Data Engineer Associate Certification Path-Part 2 00:00:00
    • How To Be A Big Data Engineer 00:00:00
    • What are the Job Opportunities in Big Data? 00:00:00
    • How to Prepare for a Job Interview 00:00:00
    • What is the attitude to work in the Industry 00:00:00
    • How to Manage Life and Work 00:00:00
    • How to excel in the field 00:00:00
    • Finishing Hadoop Unlimited
    • Introduction to AI vs ML vs DS 00:00:00
    • Jupyter Notebook and Basic Syntax of Python 00:00:00
    • Conditionals and Loops 00:00:00
    • Lists and Tuples 00:00:00
    • Strings in Python 00:00:00
    • Dictionary in Python 00:00:00
    • MINI PROJECT: ROCK-PAPER-SCISSORS GAME 00:00:00
    • Function in Python Part-1 00:00:00
    • Function in Python Part-2 00:00:00
    • MINI PROJECT:SUDOKU SOLVER 00:00:00
    • OOPs Intro,Class and Objects 00:00:00
    • Acess Modifiers and Inheritance 00:00:00
    • Method overriding,Encapsulation,Polymorphism and imports 00:00:00
    • Files and Exception Handling 00:00:00
    • Chess with Gui Part 1 Unlimited
    • Chess with Gui Part 2 Unlimited
    • Chess with Gui Part 3 Unlimited
    • Chess with Gui Part 4 Unlimited
    • File reading in Pandas Unlimited
    • File writing in Pandas Unlimited
    • Getting into Data Manupulate Part-1 00:00:00
    • Getting into Data Manupulation Part-2 00:00:00
    • Getting into Data Manupulation Part-3 Unlimited
    • Getting into Data Manupulation Part-4 Unlimited
    • Advance Data Manipulation Part-1 Unlimited
    • Advance Data Manipulation Part-2 00:00:00
    • Numpy Array Manipulation Part-1 Unlimited
    • Numpy Array Manipulation Part-2 00:00:00
    • Numpy Array Manipulation Part-3 Unlimited
    • Numpy Array Manipulation Part-4 Unlimited
    • Data Visualization with Matplotlib Part-1 00:00:00
    • Data Visualization with Matplotlib Part-2 00:00:00
    • Plotly and Cufflinks Part-1 00:00:00
    • Plotly and Cufflinks Part-2 00:00:00
    • Visualization with Seaport Part-1 00:00:00
    • Visualization with Seaport Part-2 00:00:00
    • MySQL 00:00:00
    • SQLITE 00:00:00
    • Mongo DB 00:00:00
    • API AND EXECUTION FLOW 00:00:00
    • UNDERSTANDING API BY CREATING CALCULATOR 00:00:00
    • Virat Kohli ODI Career Analysis 00:00:00
    • Virat Kohli Test Career Analysis 00:00:00
    • CRISTIANO RONALDO GOALS DATA 00:00:00
    • FIFA DATA EXPLORATION 00:00:00
    • When Would Virat Overtake Sachin in ODI 00:00:00
    • MESSI VS RONALDO LEAGUE PERFORMANCE 00:00:00
    • MoneyHeist Data Exploration 00:00:00
    • Breaking Bad EDA and a Glimpse of NLP 00:00:00
    • Disney Movies 00:00:00
    • IMDB 1000 MOVIES 00:00:00
    • Netflix Shows 00:00:00
    • Finance Courses in Udemy 00:00:00
    • IBM PAYMENT HISTORY 00:00:00
    • State aggregate expenditure and personal finance data 00:00:00
    • Loan Approval Data 00:00:00
    • Introduction to Statistics 00:00:00
    • Population and Sampling Techniques 00:00:00
    • Variables and Measurements 00:00:00
    • Measure of Central Tendency and Dispersion 00:00:00
    • 5 Number Summary 00:00:00
    • Gaussian Distribution and Z Score 00:00:00
    • Long-Normal,Bernauli,Binomial and More Distribution 00:00:00
    • Standardization and Normalization 00:00:00
    • Probability 00:00:00
    • Permutations and Combinations 00:00:00
    • Hypothesis Testing 00:00:00
    • Z-Test,T-Test and Chi-Square Test 00:00:00
    • Covariance,Person’s Correlation and Spearman’s Correlation 00:00:00
    • Introduction to Maschine Learning 00:00:00
    • Project Intro 00:00:00
    • Sampling and Data Exploration 00:00:00
    • Data Preperation and Pipeline Setting 00:00:00
    • Model Building ,Evaluation and Presentation 00:00:00
    • Linear Regression 00:00:00
    • R square and Adjustments R Square 00:00:00
    • Linear Regression and R2 Score Practical 00:00:00
    • Ridge and Lasso Regression 00:00:00
    • Ridge and Lasso Regresson Practicals 00:00:00
    • Logistic Regression 00:00:00
    • Confusion Matrix,Precision,Recall and F-Score 00:00:00
    • Logistic Regression,Confusion Matrix practicals 00:00:00
    • Naive Bayes Indepth Intuition 00:00:00
    • ROC AND AUC 00:00:00
    • Naive Bayes ,ROC and AUC Practicals 00:00:00
    • KNN,Euclidean and Manhattan Distance 00:00:00
    • K Means Clustering with Practical 00:00:00
    • Hierarchical and DBSCAN Clustering 00:00:00
    • Web Scraping 00:00:00
    • Data Gathering From API 00:00:00
    • 1. Salary Prediction(Using Flask and Django) 00:00:00
    • Using Flask Framework 00:00:00
    • Using Django Framework 00:00:00
    • Admission Prediction 00:00:00
    • Drug Classification 00:00:00
    • Diabetes Prediction 00:00:00
    • Income Prediction 00:00:00
    • ForestCoverClassification 00:00:00
    • Insurance Fraud Claim Detection 00:00:00
    • Iris Flower Classification with Deployment on Heroku 00:00:00
    • Introduction to StreamLit Part-1 00:00:00
    • Introduction to StreamLit Part-2 00:00:00
    • Introduction to StreamLit Part-3 00:00:00
    • Software Developer Salary Prediction 00:00:00
    • Iris FLower Classification Project and Deployment 00:00:00
    • Live Data Dashboard with Deployment 00:00:00
    • Introduction to Business intelligence 00:00:00
    • Basic Charts and UI 00:00:00
    • Geographical Maps 00:00:00
    • Table and Matrix 00:00:00
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