This contains the Jupyter Notebook and the Dataset for the mentioned Classification Predictive Modeling Project
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Updated
Dec 3, 2020 - Jupyter Notebook
This contains the Jupyter Notebook and the Dataset for the mentioned Classification Predictive Modeling Project
A machine learning exercise using the Spotify "hit predictor" dataset, with data analysis of past "hits" by decade. Deployment using Flask via Heroku.
Python implementaion of missing value imputation using K-Nearest-Neighbour and Weighted K-Nearest-Neighbour
Big Data Project - SSML - Spark Streaming for Machine Learning
This project helps the patient to find the best doctor in that area or may be used for finding a better doctor for a second opinion.ML model to work on with data set of doctors profile and based on this we will ask the user to input certain data fields to predict the best/better doctor in that location (if any).
A guided project provided by datacamp.
To model the demand for shared bikes with the available independent variables
Predictive Analytics
A machine learning model that attempts to predict whether a loan will become high risk or not
Linear Multilinear and Logistic Regression in Machine Learning
In this project, the selling price of the houses have been predicted using various Regressors, and comparison charts have been shown that depict the performance of each model. This submission was ranked 107 out of 45651 in first attempt on Kaggle leader-board which can be accessed from here : https://www.kaggle.com/c/home-data-for-ml-course/lead…
Fictional investment bank, Accountability Accounting, is interested in offering a new cryptocurrency investment portfolio to its clients; however, the company needs assistance in determining which cryptocurrencies they should offer and would like them grouped to create a classification system for this new investment. A clustering algorithm was u…
A Spotify Hit Predictor capable of predicting whether any given track would be a 'Hit' or 'Flop'. By using the Spotify "hit predictor" dataset, with data analysis of past "hits" by decade. Deployment using Flask via Heroku.
In this Classification Machine Learning Project, we will be analysing the dataset taken from www.kaggle.com related to details of credit card owners. This data consists of features like Gender, Income type, House type, marital status and many more. Our focus will be on analysing the data, getting the insights related to these features and there …
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