Machine Learning
Machine Learning Blog Series
Below is a list of my blog posts focusing on different aspects of Machine Learning, from foundational concepts to practical implementations in Python. This collection provides a step-by-step guide for beginners and intermediate learners alike.
1. What is Machine Learning?
Link: https://blog.jyotiprakash.org/what-is-machine-learning
2. Getting Started with Anaconda and Jupyter Notebook on Windows for Python Programming
3. Getting Started with Python for Machine Learning: A Beginner's Guide
Link: https://blog.jyotiprakash.org/getting-started-with-python-for-machine-learning-a-beginners-guide
4. Pandas and NumPy: Heroes Behind the Scenes
Link: https://blog.jyotiprakash.org/pandas-and-numpy-heroes-behind-the-scenes
5. Introduction to Linear and Logistic Regression in Python
Link: https://blog.jyotiprakash.org/introduction-to-linear-and-logistic-regression-in-python
6. From Branches to Forests: Decision Trees and Random Forests in Python
Link: https://blog.jyotiprakash.org/from-branches-to-forests-decision-trees-and-random-forests-in-python
7. Unleashing Hidden Patterns: An Introduction to Unsupervised Learning
Link: https://blog.jyotiprakash.org/unleashing-hidden-patterns-an-introduction-to-unsupervised-learning
8. Introduction to Support Vector Machines (SVMs)
Link: https://blog.jyotiprakash.org/introduction-to-support-vector-machines-svms
9. Naive Bayes: Have You Been Spammed?
Link: https://blog.jyotiprakash.org/naive-bayes-have-you-been-spammed
10. Neural Nets: The Talk of the Town
Link: https://blog.jyotiprakash.org/neural-nets-the-talk-of-the-town
11. CNNs: The Eyes of ML
Link: https://blog.jyotiprakash.org/cnns-the-eyes-of-ml
More coming…