Utilize this oppurtunity QnA section

Quick Summary of Jupyter Notebook

Introduction to this course & Course Benefits

What is Data Science

Lifecycle of data science project

Analysing your categories of Restaurants

Understand your data

Perform Data Cleaning on your data

Perform InDepth Analysis of Restaurant

Perform Restaurant Overview Analysis

Analysing Best budget Restaurants

Perform Geographical analysis on data

Analysing Customer Behaviour using WordCloud

Analysing Reviews of Restaurant

What is Imbalance Data & how to handle it

Perform Feature Importance on data

How to Prepare your data for Machine Learning

How to came across with your missing values in data

Perform Feature encoding on your data

Intuition Behind Random Forest Part1

Intuition Behind Random Forest Part2

Apply Feature Encoding & Prepare your data for Modelling

Intuition behind Logistic Regression part 2

Intuition behind Logistic Regression part 1

Apply Random Forest algorithm on data

Intuition Behind Naive BayesPart 1

Intuition Behind Decision Tree Part 1

How Naive Bayes works with Text Data

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 KNN Part 2

Intuition Behind KNN Part 3

Intuition Behind KNN Part 4

Playing with multiple algorithms

Understand your data

Intuition behind Bag of Words

How to Perform Stemming on your data

Applying Bag of words on data

Analyse your data & Playing with More algorithms

Apply Naive Bayes on data

Perform Data Cleaning on Time Series Data

Checking Stationary Trend in Data

How to make your Data Stationary

Intuition behind ARIMA part 1

Intuition behind AR model ARIMA part 3

Intuition behind Integrating ARIMA part 4

Applying SARIMAX Algorithm on data

Intuition behind MA model ARIMA part 2

Apply ARIMA Algorithm on data

Doing Predictions on Future date