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Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning

Machine Learning Development Projects

This repository documents my journey to become a Machine Learning Engineer. It contains the list of projects undertaken, books read, courses pursued and almost everything I did in the process. So follow along or diverge to you own path, each way, I believe this will add value to any data professional / enthusiast.

Implementation of paper everybody dance now for Deep learning course project

I have created face recognition system using openCV and numpy library . the project is bascially in two parts 1) collecting samples of your face(Face_Recognition_part1) and 2) Training your model and generating output as Locked(when face does not match) and unlocked (when face match) and face not found(when it could not detect your face)

This repository contains our project on Stock Market Price prediction Using Historical Data

This repository contains my Machine Learning Projects.

This repository has various machine learning projects. You can check out this repository to download machine learning projects

ganesh kavhar python projects..

A Classification Problem which predicts if a loan will get approved or not.

Building a baseline machine learning classifier model to predict whether a customer would clain his/her insurance or not.

This repository contain basic of machine learning topic with working code

My notebooks and datasets. I have uploaded data files as well as fully worked out Jupyter notebooks that contain various machine learning algorithms in action.

PROJECT

Heart disease detection using Machine Learning

Python - Fake news prediction using Machine Learning algorithms and Flask Framework.

Here are some of the machine learning projects for learning and predicting

Machine Learning Model Web Based Using Flask Framework

Repository ini dibuat sebagai bentuk kenang-kenangan atas selesainya learning path machine learning dari Dicoding. Submission kelas dapat dilihat di "ml_dicoding.ipnyb".

Machine Learning Projects

Citation: http://dx.doi.org/10.1016/j.snb.2007.09.060 & Dataset repository: https://archive.ics.uci.edu/ml/datasets/Air+quality

🏃 🌀 A 50 day of Machine Learning Sprint to cover all state of the art problems from various domains

Predictive Analysis of detecting signal emitting Source

EC60091-Machine Intelligence & Expertise Systems Course,Autumn-2019

For Study Purpose