Animal State Prediction Dataset
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Updated
Mar 5, 2020 - Jupyter Notebook
Animal State Prediction Dataset
This repository consists of 6 sections, detailing hands on Machine Learning Models: Regression, Classification, Clustering, AssocaitionRuleLearning, Deep Learning and Natural Language Processing Techniques
A business case study to solve problems related to an airline startup using ML
Visualization and predication of personal income levels as above or below 50,000 per year based on personal details such as relationship and education level using classification model and deployment using flask
Exploratory and Predictive analysis of the Dota 2 dataset
Aim of the problem is to detect the presence or absence of cardiovascular disease in person based on the given features
Identify question pair with the same intent using Convolutional Neural Network
models for TalkingData AdTracking Fraud Detection Challenge
Demonstrating how to build an XGBoost model and deploy it to Algorithmia, from a Jupyter notebook
Project work related to various hackathons
Sports betting match predictor
Built a Linear Regression and XGBoost model to predict house prices from the Boston house price dataset
Titanic
An Entity Resolution project deploying a doctor-to-grant XGBoost classifier using Vector Search with HNSW Graphs
A complete workshop on Machine Learning Algorithms
I am interested in exploring machine learning techniques to predict the outcome of a European soccer game using game and player information collected. The generated predictive model will be able to predict the outcome of a game as Win, Loss or Draw for the home team. This model will use various attributes that are calculated each year for both h…
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