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Intro to this course

Introduction to Business Problem & Dataset

Intuition Behind Random Forest Part-1

Intuition Behind Random Forest Part-2

Applying Random Forest on Data & Automate predictions

Intuition Behind Decision Tree- Part 1

Intuition Behind Decision Tree- Part 2

Intuition Behind Decision Tree- Part 3

Intuition Behind Decision Tree- Part 4

Intuition Behind Decision Tree- Part 5

Intuition Behind Decision Tree- Part 6

Intuition Behind Linear Regression- Part 1

Intuition Behind Linear Regression- Part 2

Intuition Behind Linear Regression- Part 3

Intuition Behind KNN- Part 1

Intuition Behind KNN- Part 2

Intuition Behind KNN- Part 3

Intuition Behind KNN- Part 4

Play with multiple Algorithms & dumping your model

Intuition Behind Cross Validation- Part 1

Intuition Behind Cross Validation- Part 2

How to Cross Validate your model

Understanding Data & data-preprocessing

Extract Derived Features from Data

Perform Data Pre-processing

Handle Categorical Data & Feature Encoding

Perform Label Encoding on data

How to handle Outliers in Data

Select best Features using Feature Selection Technique

Introduction to Business Problem & Dataset

Checking Accuracy of Model

Exploring your data

Intuition behind TF-IDF --part 1

Intuition behind TF-IDF --part 2

Apply TF-IDF on data

Intuition behind Logistic Regression --part 1

Intuition behind Logistic Regression --part 2

Apply Logistic Regression on Data

Introduction to Business Problem & Dataset

Evaluating Time Series Model

Analyzing Time Series data

Data preparation for Time Series Forecasting

Intuition behind ARIMA --part 1

Intuition behind MA model --ARIMA part 2

Intuition behind AR model -- ARIMA part 3

Intuition behind Integrating -- ARIMA part 4

Apply Auto-Arima on data