Practical Roadmap for getting started with Machine Learning and Data Science for Beginners in 2020.

ML-DS Roadmap 2020.txt

Here’s a practical roadmap for getting started with machine learning and data science for beginners:

✅ Step 1
Download and Install Anaconda
https://www.anaconda.com/download/

✅ Step 2
a. Learn the basics of Python (Lists, Tuples, Dictionaries, etc)
b. Understand the basics of data structures and algorithms
https://www.datacamp.com/c…/tutorials/data-structures-python

✅ Step 3
Do more practice problems in Python
Codeacademy: https://www.codecademy.com/learn/learn-python

✅ Step 4
Learn the scientific libraries (NumPy, SciPy, Pandas)
Pandas: https://www.tutorialspoint.com/python_pandas
NumPy: https://www.datacamp.com/co…/tutorials/python-numpy-tutorial
SciPy: https://www.tutorialspoint.com/scipy/

✅ Step 5
Machine Learning with Scikit-Learn
Machine Learning in 20min: https://www.youtube.com/watch?v=MOdlp1d0PNA
MIT Machine Learning: https://www.youtube.com/watch?v=h0e2HAPTGF4
Scikit-Learn Introduction: https://machinelearningmastery.com/a-gentle-introduction-t…/
Machine Learning Basics:https://www.tutorialspoint.com/…/machine_learning_with_pyth…
Scikit-Learn Tutorial: https://www.youtube.com/watch…

✅ Step 6:
Practice your machine learning skills
Kaggle Machine Learning Tutorial: https://www.kaggle.com/learn/machine-learning

✅ Step 7:
Practice advanced library
a. PyTorch
https://pytorch.org/tutorials/
b.TensorFlow
https://www.tensorflow.org/tutorials/

✅ Step 8:
Practice by participating in Kaggle Competitions or personal/professional projects
https://www.kaggle.com/competitions