A neural networks project that categorizes different poems in the dataset according to their genre

Colab notebook for exploring the impact of overlapping data in a small 3D convolutional neural network.

Classification model using R to classify white wine as either good, bad, or normal

Classification model on identifying Hall-of-Fame MLB players based on career statistics. Provides insight on active players whose rookie cards are potentially undervalued.

📈 Compare different classification models and optimize parameter

Use machine learning classifier to predict author of a piece of Literature NOT looking the content but using "function" words only

In this project, we built a model that will take human image data and classify the images as of Indian origin human from others. The dataset comprise images of humans with different skin tones(Fair, Mild, and Dark) and the model gives optimal prediction results for both males and females image.

Deep Network implemented from scratch using only NumPy. This is my interpretation of Dense and Sequential available in the Tensorflow package.

Using Decision Tree to predict Employee Attribution

Jupyter notebook for practicing utilities of scikit-learn for machine learning

This project creates a web application which predicts fashion items uploaded as image using a parallelized machine learning model trained on the Fashion-MNIST dataset and also analyzes the performance of different parallelized classifier models.

This mini-project is an attempt to predict chronic kidney disease in patients using classification modeling, employing statistical techniques to identify risk factors and forecast the likelihood of the disease.

Hate Speech Classification using ML Models

The Higgs boson is the fundamental particle associated with the Higgs field, a field that gives mass to other fundamental particles such as electrons and quarks. A particle’s mass determines how much it resists changing its speed or position when it encounters a force. Not all fundamental particles have mass. The photon, which is the particle of…

📊 [ML] Classification Problem Solution: Guessing the type of a corrupted file

This is a classification-based supervised Machine Learning project to predict the mobile price range based on the features given in the dataset.

A real world data analysis and sentiment analysis using NLP and supervised classification machine learning model #4

Our main objective is to determine if the person will be afflicted by a coronary heart condition or not, therefore we drew several insights from that dataset that helped us understand the weighting of each feature and how they are interrelated.

GA project 03

This shows the machine learning pipeline for Classification and Clustering using Pycaret 3.0 on jupyter notebook