The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.
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Updated
May 8, 2022 - Python
The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.
A day to day plan for this challenge. Covers both theoritical and practical aspects
A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well as classical AI search algorithm
A memory efficient GBDT on adaptive distributions. Much faster than LightGBM with higher accuracy. Implicit merge operation.
Implementation of a Partial Least Squares Regressor
Machine learning Regression problem with easy understandable solutions
This repository provides a Python3 Library with implementations of the Least-Squares Support Vector Machine (LS-SVM) machine learning model. The Classes are designed to integrate smoothly with the scikit-learn library.
Using machine learning algorithms to predict first innings score in limited overs cricket matches
This repository contains all the Lab and Assignments from Andrew NG Machine Learning Specialization Course on Coursera.
Estimation and inference from generalized linear models using explicit and implicit methods for bias reduction
Notebooks and Python about data science
A Linear Regression model to predict the car prices for the U.S market to help a new entrant understand important pricing variables in the U.S automobile industry. A highly comprehensive analysis with detailed explanation of all steps; data cleaning, exploration, visualization, feature selection, model building, evaluation & MLR assumptions vali…
It is the repo I listed my kernels in Kaggle. You can access it in detail from my Kaggle address https://www.kaggle.com/bulentsiyah.
My implementation of the regression algorithms
Visual regression testing made easy. Automating the boring stuff
Sparse Spectrum Gaussian Process Regression
In this repository you can find many different, small, projects which demonstrate regression techniques using python programming language
Moody's Bond Rating Classifier and USPHCI Economic Activity Forecast Modeling
This repository is for every beginner who just finished with the theoretical part of Machine Learning and wants to have a hands on experience of various kinds of algorithm and make predictions on a real time dataset.
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