I provide training for Machine Learning and Data science using Python (and/or R?).

The course is suitable for anyone who is interested in either making the next career move in Data analytics field or getting an in-depth understanding of concepts involved in machine learning to take their current job to the next level.

The course is designed in a way that it is easy to comprehend by anyone. The Machine Learning course consists of dedicated 42 hours of lectures ( 28 sessions of 1.5 hours each ) in 3 months, with 3 hours every weekend (1.5 hours each on Saturday and Sunday ), which is spread across Basic, Intermediate and Advanced levels.

1. Basic ( 6 sessions)

2. Intermediate (10 sessions)

3.Advanced (12 sessions)

Some of the topics that will be covered include : -

• Supervised Algorithms: Linear Regression, Logistic Regression, Decision trees , Random Forest

• Unsupervised Algorithms: Clustering(K-Means, Hierarchical , SOM) etc.

• Optimization Techniques: Linear programming - Data Reduction Techniques: Factor Analysis, PCA etc.

• Time series Forecasting Techniques-Text mining, Association Rules, Collaborative filtering

• Neural networks, Support vector machines, XGBoost algorithm etc.

Apart from theory. There will be: -

1. Hands-on problem-solving with real-life examples

2. Take home assignments

3. Case studies related to Marketing, Financial, Retail and eCommerce analytics - Assistance in preparing for interviews.

Please let me know in case you are interested in this course.