Repository For Codes And Concept Taught in Udemy Course

Golang Dynamic Decision Tree

Credit card fraud detection using machine learning. Web application using Streamlit framework

URL Based Spam Classification Using Machine Learning

Oasis Infobyte Internship Data Science task-1

Predicting churn customers using last 3 months data using PCA and multiple classification models like Logistic Regression, Decision Tree and Random Forest and finding the features influencing the churn.

Keywords—classification, supervised learning, Random Forest, K-Nearest Neighbor(K-NN), Naïve Bayes, Decision tree, Support Vector machine

Machine Learning Algorithms uses LATEX for Documentation

Machine learning algorithms

Decision Tree C4.5 Algorithm in C++ only using STL

Machine Learning Projects Portfolio

Decision Tree implementation without any library on Iris dataset

Udacity Data Scientist Nanodegree Project - Employ supervised algorithms to accurately model individuals income

Bachelor Gameplay demo with use of advanced interaction with AI

A Machine Learning Project to detect Fake News using Python, making use of Logistic Regression and Decision Trees.

The primary objective of this study is to explore the feasibility of using machine learning algorithms to classify health insurance plans based on their coverage for routine dental services. To achieve this, I used six different classification algorithms: LR, DT, RF, GBT, SVM, FM(Tech: PySpark, SQL, Databricks, Zeppelin books, Hadoop, Spark-Submit)

Ensemble Learning | Flask

Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.

Classification of mushrooms using decision tree in ID3 implementation