Repository for the Brainhack School 2020 team working with fMRI and ABIDE data to train machine learning models.
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Updated
Jun 17, 2024 - Jupyter Notebook
Repository for the Brainhack School 2020 team working with fMRI and ABIDE data to train machine learning models.
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…
ML model for stock trend prediction using Python
Implementation scripts of Machine Learning algorithms on Scikit-learn and Keras for complete novice..
Contains all my data science projects.
This is an algorithm for evenly partitioning.
Classify pictures by architectural style and recognize objects with CNNs and YOLO
Machine Learning and Data Mining cheatsheet and example operations prepared in MATLAB
Credit Card Fraud Detection Project
Codes and templates for ML algorithms created, modified and optimized in Python and R.
Machine Learning algorithms built from scratch for AMMI Machine Learning course
Two ensemble models made from ensembles of LightGBM and CNN for a multiclass classification problem.
[College Course] - Course: BITS F312 Neural Network and Fuzzy Logic
Titanic rescue prediction using Decision Tree, SVM, Logistic Regression, Random Forest and KNN. The best accuracy score was from Random Forest: 84.35%
Machine learning: Practical applications
Linear Regression Feature Selection and Trainer
An Artificial Neural Network with weight decay created using python using the Numpy library which can read handwritten digits. Uses K-Folds cross validation for training the Neural Network.
Optimizing-Hyperparameters-Using-Grid-Search-Deep-Learning
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