Getting Started With Data Science Bootcamp
A beginner-friendly Online Data Science Bootcamp for Data Science aspirants & enthusiasts - beginners
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About this course
Contributors & Instructors
What you will learn?
Course Content
1. Guidelines
1
Guidelines
2. Pre-Work
1
Pre-Work
3. Week 1
8
Kick-Off Event
Module 1: Python Basics - Part 1
Module 1: Python Basics - Part 2
Recorded Session: Introduction to Fundamentals of Python and NumPy
Recorded Session: Dive Deep into Pandas
Recorded Session: Notebooks
Module 2: Data Analytics & Pandas
Module 2: Working with CSV files
4. Week 2
9
Recorded Session: Data Visualizations & Dive Deep into Matplotlib
Tutor Presentation
Notebook: Data Visualizations & Dive Deep into Matplotlib
Exploratory Data Analysis
Notebook: Exploratory Data Analysis
Recorded Session: Exploratory Data Analysis
Data Preparation 101
Recorded Session: Data Preparation 101
Recorded Session: Notebook
5. Week 3
6
Getting familiar with ML terms
Linear Regression
Classification and Logistic Regression
ML 101
Regression: Cost Functions and Evaluation Metrics
Multi-class Classification & Classification Evaluation Metrics
6. Additional Learning Materials
7
Supervised Learning Algorithms
Introduction to Ensemble Models
Ensembling Models and Hyper Parameter Tuning
An Overview of Boosting Algorithms
Introduction to Feature Importance and Feature Selection in Machine Learning
Presentation: Feature Selection
Notebook: Feature Selection
7. Assignments
2
Assignment Schedule & Instructions
Final Assignment: Applied Problem Solving