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Advanced Data Science and Artificial Intelligence in Malayalam

TAKE THIS COURSE₹ 50,000

Course Currilcum

Introduction to Data Science & Big Data
- Kickstart Your Journey in Data Science Unlimited
- Knowing and Outcome Of Big Data Unlimited
- Structured And Unstructured Data,Hadoop Made Simple Unlimited
Python Programming Fundamentals
- Python Basics Unlimited
- Variables,Keywords and Identifier Unlimited
- Python Operators Unlimited
- Conditional statement and Looping Unlimited
- Loop Exercises 00:00:00
- Jump Statements,String Operations Unlimited
Python Data Structures
- List,Tuple,Dictionaries,Set Unlimited
- Excercises – Part 1 Unlimited
Functions & Functional Programming
- Functions – Part 1 Unlimited
- Lambda and Map Function Unlimited
- Modules and Packages Unlimited
- Filter function – Part 1 Unlimited
- List Comprehension – Part 1 Unlimited
- Regular expression Part 1 Unlimited
- Regular expression Part 2 Unlimited
- Exceptional Handling Unlimited
- Files Part-1 00:00:00
- Files Part-2 00:00:00
- Itertools Unlimited
- OOPs: Intro, Class and Objects 00:00:00
- abstraction – Part 1 Unlimited
- Encapsulation and inheritance Unlimited
- Inheritance Excercise Unlimited
- Polymorphisam Unlimited
- python-excercise-all Unlimited
- MySQL installation Unlimited
- Creation of tables Unlimited
- SQL Query Unlimited
- Aggregate function – Part 1 Unlimited
- Group By – Part 1 Unlimited
- Distinct Unlimited
- Update – Part 1 Unlimited
- Joins Part1 Unlimited
- Joins Part2 Unlimited
- Machine Learning and Numpy Introduction Unlimited
- One dimensional Array Creation Unlimited
- Two dimensional Array Creation Unlimited
- Three Dimensional Array Creation Unlimited
- Numpy functions Unlimited
- Pandas Introduction Unlimited
- Creation of Series Unlimited
- Creation of Data Frame 00:00:00
- Pandas Functions Part 1 Unlimited
- Pandas Functions Part 2 Unlimited
- Machine learning introduction Unlimited
- Data Types – Part 1 00:00:00
- Supervised Machine Learning Introduction Unlimited
- EDA part 1 Unlimited
- EDA part 2 Unlimited
- KNN – Part 1 Unlimited
- KNN Excercise Unlimited
- Seaborn Introduction Unlimited
- Seaborn Part 2 Unlimited
- Performance measures – Part 1 Unlimited
- SVC – Part 1 Unlimited
- SVC-Excercise Unlimited
- Simple Linear Regression – Part 1 Unlimited
- Performance measures-Regreesion Unlimited
- Polynomial Regression – Part 1 Unlimited
- Multiple Linear Regression Unlimited
- Naive Bayers Introduction Unlimited
- Naive Bayers Excercise – Part 1 Unlimited
- Handling Imbalanced data Unlimited
- Under Sampling – Part 1 Unlimited
- Decision trees Unlimited
- Decision trees-Excercise Unlimited
- Ensemble Machine learning model Unlimited
- Adaboost – Part 1 Unlimited
- Gradient Boost – Part 1 Unlimited
- XG Boost – Part 1 Unlimited
- Hyper parameter Tuning-Grid Search CV Unlimited
- Randomized Search CV Unlimited
- Visualization With MatPlotlib Unlimited
- Introduction – Part 1 Unlimited
- KMeans Clustering – Part 1 Unlimited
- Agglomerative Clustering Unlimited
- Dendrogram – Part 1 Unlimited
- Feature Engineering and Feature Selection Unlimited
- Cross-Validation and Model Evaluation Techniques Unlimited
- Advanced Ensemble Methods (Stacking, Blending, Voting Classifiers) Unlimited
- Model Interpretability (SHAP, LIME) Unlimited
- Bias and Variance Tradeoff Unlimited
- Model Deployment Basics (Pickle, Joblib) Unlimited
- Introduction to Neural Networks Unlimited
- Activation Functions and Gradient Descent Unlimited
- Forward and Backpropagation Explained Unlimited
- Building ANN (Artificial Neural Network) with TensorFlow/Keras Unlimited
- Overfitting & Regularization (Dropout, Early Stopping, Batch Normalization) 00:00:00
- CNN (Convolutional Neural Network) for Image Data Unlimited
- RNN (Recurrent Neural Network) & LSTM for Sequential Data 00:00:00
- Deep Learning Model Evaluation & Optimization 00:00:00
- Advanced Matplotlib & Seaborn Techniques 00:00:00
- Plotly & Cufflinks – Interactive Visualizations 00:00:00
- Power BI / Tableau Introduction Unlimited
- Building Dynamic Dashboards with Plotly Dash / Streamlit Unlimited
- Storytelling with Data – How to Present Insights Unlimited
- What is AI and how it differs from ML & Data Science 00:00:00
- Real-world AI applications in data science (healthcare, marketing, etc.) Unlimited
- Components of Data Science (data collection, cleaning, modeling, evaluation) Unlimited
- Indexing and slicing DataFrames. Unlimited
- Importing and exploring datasets Unlimited
- Data cleaning (nulls, duplicates) Unlimited
- Feature selection and data transformation Unlimited
- Quiz-1 00:02:00
- Hands-o: Load and explore a real dataset(csv) 00:00:00
- Supervised and unsupervised – Part 1 00:00:00
- Overview of ML pipeline Unlimited
- Algorithms: Linear Regression, Decision Trees Unlimited
- Hands-on: Build a simple Linear Regression model using Scikit-learn Unlimited
- Logistic Regression, KNN, Random Forest Unlimited
- Hands-on: Predict target variable from real dataset (e.g., Titanic dataset Unlimited
- What is a Neural Network? Unlimited
- Auto creation of materials Unlimited
- Tools: TensorFlow/Keras introduction Unlimited
- 19 Hands-on: Simple ANN model for binary classification Unlimited
- Basics of image classification (CNN overview) Unlimited
- Confusion Matrix, ROC Curve Unlimited
- Quiz-2 00:02:00
- Cross-validation, overfitting/underfitting Unlimited
- Hyperparameter tuning (GridSearchCV) Unlimited
- Hands-on: Improve model accuracy using parameter tuning 00:00:00
- Problem Statement: Predict outcome (e.g., loan approval, disease detection) Unlimited
- Data loading and cleaning Unlimited
- Feature selection Unlimited
- Model training and evaluation Unlimited
- Results interpretation Unlimited
- Intro to Streamlit / Flask Unlimited
- Convert ML model to web app Unlimited
- Hands-on: Simple ML model deployed using Streamlit Unlimited
- Responsible AI, fairness, transparency Unlimited
- AI limitations & risks 00:00:00
- Career paths in AI & Data Science 00:00:00
- Overview of Data Science and AI Unlimited
- History, features, and use cases. Unlimited
- Input-Output Operators Unlimited
- Relational Unlimited
- Logical Unlimited
- Membership Unlimited
- Compound Arithmetic Unlimited
- Bitwise Unlimited
- Simple if Unlimited
- If-else Unlimited
- If-elif-else Unlimited
- Programs – Part 1 Unlimited
- Jump Statements Unlimited
- String Indexing and Slicing Unlimited
- List Unlimited
- Tuple Unlimited
- Tuple Excercise Unlimited
- Collection Datatypes Excercises Unlimited
- Function Return Multiple Arguments Unlimited
- Recursion Unlimited
- Lamnda Function Unlimited
- Map function Unlimited
- Programs – Part 3 Unlimited
- Module Unlimited
- Substitute Unlimited
- Introduction – Part 2 Unlimited
- Functinal Programming-Read Unlimited
- Functional Programming-Write Unlimited
- Exception Handling Unlimited
- Class and Object Unlimited
- Encapsulation Unlimited
- Inheritance-Part1 Unlimited
- Polymorphism Unlimited
- Indexing and slicing DataFrames. Unlimited
- Excercises – Part 3 Unlimited
- Scaling – Part 1 Unlimited
- Outlier Removal Unlimited
- Matplotlib Unlimited
- Matplotlib Case study Unlimited
- Seaborn Unlimited
- Pair plots and relationship plots. Unlimited
- Seaborn Case Study Unlimited
- Supervised and unsupervised – Part 2 00:00:00
- KNN – Part 2 Unlimited
Regular Expressions & Exception Handling
File Handling & Utilities
Object-Oriented Programming (OOPs)
Python Practice
Database & SQL
NumPy for Data Analysis
Pandas for Data Manipulation

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