himanshutamboli
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Compiled Notes for all 9 courses in the Coursera Data Science Specialization
The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to expand my knowledge, it is now an open knowledge-sharing projec…
This project is a part of "Unsupervised Machine Learning” curriculum as capstone projects at AlmaBetter School
This Repository contains the list of various Machine and Deep Learning related projects. Related code and data files are available inside this folder. One can go through these projects to implement…
This repository consists of all my Machine Learning Projects.
In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbofan engine.
Linear Regression Model for Real State House Price Prediction
Repo for Applied Text Mining in Python (coursera) by University of Michigan
📈 Keras implementation of the Deep Temporal Clustering (DTC) model
Time Series Analysis & Forecasting of Rossmann Sales with Python. EDA, TSA and seasonal decomposition, Forecasting with Prophet and XGboost modeling for regression.
🤖⚡ 50 scikit-learn tips
A Classification Problem which predicts if a loan will get approved or not.
Predicting how capable each applicant is of repaying a loan (Kaggle Challenge)
Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy
Data Science Capstone Project Using Python and Tableau 10
Data Wrangling, EDA, Feature Engineering, Model Selection, Regression, Binary and Multi-class Classification (Python, scikit-learn)
Data Science & Machine Learning Internship at Flip Robo Technologies
Welcome, here are all the practiced assignments and projects!
PREDICT THE BURNED AREA OF FOREST FIRES WITH NEURAL NETWORKS
I have clustered similar movies and TV Shows available on Netflix taking into account of attributes like Description, Cast, Director, Genre etc of a particular movie/show.
An end to end Machine Learning Case Study, which focusses on building a predictive model by leveraging the dataset provide by Home Credit Group for identifying Potential Loan Defaulters.
The projects are part of the graduate-level course CSE-574 : Introduction to Machine Learning [Spring 2019 @ UB_SUNY] . . . Course Instructor : Mingchen Gao (https://cse.buffalo.edu/~mgao8/)
Predict Diabetes using Machine Learning.
To be able to predict used cars market value can help both buyers and sellers. So In this Project, we are going to predict the Price of Used Cars using various features.