673 Open source projects that are alternatives of or similar to Bike-Sharing-Demand-Kaggle

There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.

This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation

📢 Ready to learn or review your knowledge!

A New, Interactive Approach to Learning Data Science

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This repository consist of a 50-day program. All the statistics required for the complete understanding of data science will be uploaded in this repository.

📈 Click-Through Rate Prediction using Logistic Regression and Tree Algorithms

This repo contains regression and classification projects. Examples: development of predictive models for comments on social media websites; building classifiers to predict outcomes in sports competitions; churn analysis; prediction of clicks on online ads; analysis of the opioids crisis and an analysis of retail store expansion strategies using…

A python library to build Model Trees with Linear Models at the leaves.

Tensorflow implementation : U-net and FCN with global convolution

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A python library for decision tree visualization and model interpretation.

Machine Learning library for the web and Node.

Paraphrase question identification using Feature Fusion Network (FFN).

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Practice and tutorial-style notebooks covering wide variety of machine learning techniques

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Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

🍊 📊 💡 Orange: Interactive data analysis

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Open solution to the Toxic Comment Classification Challenge

Sample notebooks for Kaggle competitions

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A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

A tool for visualizing the structure and performance of Random Forests 🌳

Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review

simple tutorial on Machine Learning with Scikitlearn

A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models.

Machine Learning Lectures at the European Space Agency (ESA) in 2018

Python code for common Machine Learning Algorithms

Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀

Default risk prediction for Home Credit competition - Fast, scalable and maintainable SQL-based feature engineering pipeline

Text Classification Algorithms: A Survey

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

Open solution to the Airbus Ship Detection Challenge

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🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

Material of the Kaggle Berlin meetup group!

CNN digit recognizer implemented in Keras Notebook, Kaggle/MNIST (0.995).

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This is the implementation of Sparse Projection Oblique Randomer Forest

단국대 SW중심대학 2020년도 오픈소스SW설계 - 캐글뽀개기 수업 일정 및 강의자료

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Misc Statistics and Machine Learning codes in R

Grandmaster in MachineHack (3rd Rank Best) | Top 70 in AnalyticsVidya & Zindi | Expert at Kaggle | Hack AI

Solution to Kaggle - Web Traffic Time Series Forecasting

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A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Go Scoring API for PMML

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