Machine Learning | Manaranjan Pradhan

Machine Learning Foundation

Machine Learning Foundation

Build a solid foundation in machine learning — from statistical inference to classification and model deployment.

Statistical Inference

3 sessions

01 Probability Distribution, Outlier Detection Watch Session 02 Correlation Analysis Watch Session 03 Hypothesis Testing Watch Session

Exploratory Data Analysis

2 sessions

04 Univariate and Bivariate Analysis Watch Session 05 Dealing with Missing Values Watch Session

Regression

6 sessions

06 Regression Overview Watch Session 07 Linear Regression Watch Session 08 ML Pipeline Watch Session 09 K-Nearest Neighbor Watch Session 10 Hyper-parameter Tuning Watch Session 11 Model Deployment Watch Session

Classification

4 sessions

12 Logistic Regression Watch Session 13 Model Evaluation Watch Session 14 Decision Trees Watch Session 15 Underfitting Vs. Overfitting Watch Session

Table of contents