Machine learning algorithms from scratch in python.
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Updated
Aug 4, 2018 - Python
Machine learning algorithms from scratch in python.
Udacity Data Scientist Nanodegree Project - Employ supervised algorithms to accurately model individuals income
URL Based Spam Classification Using Machine Learning
Final project for IEE 520 Stat learning for data mining. Highly imbalanced data set. Sampling methods used.
My implementations of Linear Regression, Logistic Regression
This repository consists of machine Learning models, deep learning models and some NLP tasks such as Topic Modelling, Sequence generation, Sentiment analysis, Recommendation System
Machine Learning Projects Portfolio
An implementation of Random Forests in the Python programming language (accuracy tested with 100, 300, and 500 trees)
Hands on over different problems using various ML algorithms
Different Machine Learning Concepts and Models
Sorting out major features affecting churning of telecom customers
Machine Learning Algorithms uses LATEX for Documentation
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.
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.
Machine learning course homework
Develop a supervised model which predict the price of retail items belonging to different categories using Decision Tree Regressor in Python.
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