Introduction to Python
- Basics
- Control Flow
- Data Structures
- Strings
- Functions
- OOPS in Python
- List comprehensions
- Modules
Python for Machine Learning
- Numpy
- Pandas
- Matplotlib
- Seaborne
Maths for Machine Learning
- Linear Algebra
- Descriptive Statistics
- Inferential Statistics
- Hypothesis Testing
- Probability Basics
- Basics of Calculus and Optimization Functions
Supervised Learning
- Featurization
- Performance Metrics
- Decision Trees
- KNN
- Logistic Regression
- Linear Regression
- Ensembles(Random Forest & GBDTs)
- Model Selection
- Kaggle Competitions
Unsupervised Learning & Miscellaneous
- Clustering
- Dimensionality Reduction
- Data Cleaning Basics
- Feature Engineering Basics
Natural Language Processing & Text Mining
- NLP Featurizations/Vectorizations (BOW,tfidf,Word2Vec)
- Sentiment Analysis
- Named Entity Recognition
- Text Classification
- Topic Modelling
Deep Learning
- Why Deep Learning
- Basics of Neural Networks
- Multi Layered Perceptron
- Convolution Neural Networks
- Recurrent Neural Networks
- LSTMs
- AutoEncoders
Â
