Install Python and Jupyter

Types, Expressions and Variables in Python

Data Structures

Conditions and Branching

Objects and Classes

Setting up Anaconda

Reading and Writing Files

Using Libraries - NumPy, Pandas

Data Visualization - Matplotlib, Seaborn

Introduction to Machine Learning

Types of Machine Learning

When Does Machine Learning Make Sense?

Exploratory Data Analysis & Feature Engineering

Data Pre-processing

Train/Test Split

Bias-Variance Trade-off

Overfitting and Underfitting

Hyperparameter Tuning

Regression - Linear, Multiple Linear, Polynomial, Support Vectors, Decision Trees, Random Forests

Classification - Naive Bayes, Decision Trees, Random Forests, Logistic Regression, Support Vectors, K-NN

K-Means Clustering

DBSCAN

Anomaly Detection

Agglomerative Clustering

Hierarchical Clustering

Dimensionality Reduction - PCA

Gaussian Mixture Model

Saving Model Parameters

Building REST API Services

Dockerize the application

Deploy the Model to the Cloud

Ensemble Learning Techniques - Voting, Average, Weighted Average

Boosting/Bagging - XGBoost, AdaBoost, Gradient Descent