Best Materials to Prepare for a Data Science Job
March 1, 2024

Courses

Famous courses by Andrew Ng that are highly recommended for understanding the basics and advanced concepts:

Data Science and Machine Learning Tutorials

YouTube Videos

Introduction to Statistics

Explore statistics through these resources:

Sample Projects

Practice with these engaging sample projects:

Books

  • An Introduction to Statistical Learning: with Applications in R
  • Hands-on Machine Learning with Scikit-learn, Keras & TensorFlow

Useful Websites

Important Keywords to Learn

Master these essential concepts:

  • Time-series Analysis, Gradient Descent, Bagging, Boosting
  • Information Gain, Entropy, Gini Impurity, Cost Function

Python Resources

Introduction

Reading CSV Files

Types of Charts and Plots

Pandas Tutorials

Additional Courses

Broaden your knowledge with these courses:

Python Libraries to Know

  • Numpy, Scikit-learn, TensorFlow, PyTorch

Mini-Projects to Start

Begin with these beginner-friendly projects:

    1. House Prediction – Linear Regression
    2. Decision Tree Classification
    3. Random Forest Classification
    4. House Prediction – Linear Regression
    5. Decision Tree Classification
    6. Random Forest Classification
    7. SVM Classifier
    8. MINST Handwritten SVM
    9. Compare 5 Algorithms
    10. Spam or Not Classification
    11. Face Detector CNN
    12. Hyperparameters using Grid Search CV
    13. RNN and LSTM for Time Series
    14. Tensor Playground
    15. Facial Feature Detection using Dlib
    16. AlexNet
    17. Object Detection using YOLO
    18. Reinforcement Learning
    19. NLP
    20. Stock Market Prediction using LSTM
    21. ML Project Examples

Data Science Interview Preparation