Machine Learning
# 10
2
From a Tree to a Forest: A Guide to Random Forest Algorithm
This post describes the Random Forest, a method created to solve the overfitting issue of Decision Trees.
# 9
1
Decision Tree Regressor: A Branching Algorithm for Continuous Values
See how the Decision Tree Algorithm utilizes a Tree to predict continuous values and learn to implement it using python and scikit learn
See how trees work like flowcharts guiding the model in classifying the data!
# 7
2
Beyond Yes or No: How Logistic Regression Makes Predictions with Probabilities
Study the concept of classification and its evaluation metrics along with the Python Implementation of a Fundamental Algorithm: The Logistic Regression
Learn about polynomial regression, its types and how to implement them using Python.
Learn about the mathematical concepts behind linear regression and how to implement them using NumPy in Python.
Know more about gradient descent algorithm, its types and how they are implemented
# 3
2
Taming the Number Game: How Cost Functions guide your ML Model to Victory
Find out about cost functions, a fundemental concept in optimization of machine learning models
Explore the fundamental algorithm powering machine learning and deep learning
Explore the world of AI with us! Learn about its history, basic ideas, and where it's used.