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The Top 19 Python Machine Learning Logistic Regression Random Forest Open Source Projects

Open source projects categorized as Python Machine Learning Logistic Regression Random Forest
Categories > Machine Learning > Logistic Regression
Categories > Machine Learning > Machine Learning
Categories > Machine Learning > Random Forest
The Python Workshop ⭐ 245
A New, Interactive Approach to Learning Python
most recent commit 6 months ago
Click Through Rate Prediction ⭐ 60
📈 Click-Through Rate Prediction using Logistic Regression and Tree Algorithms
most recent commit a year ago
Heart_disease_prediction ⭐ 49
Heart Disease prediction using 5 algorithms
most recent commit 7 months ago
25daysinmachinelearning ⭐ 48
I will update this repository to learn Machine learning with python with statistics content and materials
most recent commit 3 years ago
Machine Learning Models ⭐ 26
In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.
most recent commit 2 years ago
Trajectory Analysis And Classification In Python Pandas And Scikit Learn ⭐ 25
Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently trajectories.
most recent commit 3 years ago
Text Classification Benchmark ⭐ 16
文本分类基准测试
most recent commit 6 years ago
Predicting Baseball Statistics ⭐ 14
Predicting Baseball Statistics: Classification and Regression Applications in Python Using scikit-learn
most recent commit 4 months ago
Machine Learning From Scratch ⭐ 12
🤖 Python implementations of some of the fundamental Machine Learning models and algorithms from scratch with interactive Jupyter demos and math being explained.
most recent commit a year ago
Email Spam Detection ⭐ 11
This project focuses on detecting Persian spam emails using machine learning algorithms. The goal is to develop an effective spam detection system using various word embedding techniques and classification algorithms. The project utilizes three word embedding algorithms: TF-IDF, Frequency of Words, and Bag of Words. Additionally, six classification
most recent commit 4 months ago
Home Credit Default Risk ⭐ 9
Predicting how capable each applicant is of repaying a loan (Kaggle Challenge)
most recent commit 2 years ago
Machinelearning_exercises_python_scikit Learn ⭐ 8
Python＆機械学習ライブラリ scikit-learn の使い方の練習コード集。機械学習の理論解説付き
most recent commit 5 years ago
Ml Nba Transfer Suggestion App ⭐ 7
Create you ML application to. predict the next best NBA transaction, using data from NBA API.
most recent commit 3 years ago
Creditanalytics Loan Prediction ⭐ 6
A predictive model that uses several machine learning algorithms to predict the eligibility of loan applicants based on several factors
most recent commit 5 years ago
Prediciting Hits On Spotify ⭐ 6
Predicting hit songs on Spotify by classifying 40,000 songs using Machine Learning
most recent commit 2 years ago
Enron_fraud ⭐ 6
Build a model to predict employees involved in Enron fraud case based on email & financial data set. Use feature selection & engineering, algorithm selection, & model selection based on F1 score, precision, & recall.
most recent commit 7 years ago
Healthytrees ⭐ 6
🌿🗽Analysis of health of NYC trees with GIS, logistic regression & random forest 🏙 🌳 National Day of Civic Hacking 2016
most recent commit 7 years ago
Large Scale Text Classification ⭐ 5
Large Scale benchmarking of state of the art text vectorizers
most recent commit 2 years ago
Ml_from_scratch ⭐ 5
ML Algorithms from Scratch
most recent commit 5 years ago
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