• Python Basics
• Python Data Structures
• Python Fundamentals
• Advance Python (oops)

Pandas  for Data Science

NumPy for Data Science

Matplotlib

Seaborn

Scikit-Learn

NLTK

Keras

Tableau – Data visualization

Tableau – Data Sources, Worksheet

Introduction power BI 

Visualize Data in the Form of Various Charts, Plots, and Maps BI tools – Power BI

Google Colab Notebook

Python – Date and Time, Data Wrangling

Python – Data Aggregation

Python – Word Tokenization, Stemming, and Lemmatization

Python – Data Visualization

Python – Statistical Analysis

Python – Types Of Distribution

Python – Correlation, Chi-Square Test, Linear Regression

Supervised Learning – Classification and Regression

Liver disease Prediction – (Logistic Regression)

Crime Analysis – (KNN Algorithm)

Classifying muffins and cupcakes – (SVM Algorithm)

Fake news detection – (Naïve Baye’s)

Android malware – (Decision tree)

Credit card Fraud detection – (Random Forest)

Evaluating the classification model – (Confusion matrix) Calculating the accuracy score.

Classification model selection For Breast Cancer – (Classification)

Employee Salary Prediction – (Linear Regression Single Variable)

Advertisement and Sales Prediction – (Multiple Linear Regression)

Generating Data points based on some equation – (Polynomial Regression)

Ice – Cream shop revenue prediction from temperature – (Decision Tree Regression)

Agriculture Price Prediction – (Random Forest Algorithm)

Evaluating the performance of my regression model – ( Root mean square error and R2 score)

Regression Model selection for sales forecasting.

Unsupervised Learning – Clustering

Crime Pattern Analysis – (K-Means Clustering)

Customer Spending Analysis – (Hierarchical Clustering)

Flower Species – Data Visualization

Image Compression Using – SVD (Singular Value Decomposition)

Unsupervised Learning – Association

Market Basket Analysis – (APRIARI)

Market Basket Optimization / Analysis – (ECLAT)

Reinforcement Learning

Web Ads click-through rate optimization – (Upper Bound Confidence) 

Natural Language Processing

Hate Speech Detection – (NLTK)

Loan Prediction Problem – (XGBoost)

Deep Learning

Movie Review Classification – (RNN)

Digits Classification – (CNN)

AI – Cart Pole (Reinforcement Learning)