Manvi Madan's repositories

Becoming-ML_engineer

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.

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Computer_Vision_Roadmap

This repository documents my experimentation as I explore Computer Vision algorithms and deep learning for computer vision.

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Mathematics-for-Machine-Learning-

This repository consists of my assignment submissions for Mathematics in machine Learning course by Imperial College on Coursera.

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workout-training-using-ml

This repository contains the implementation of the research paper tVelloso, E., Bulling, A., Gellersen, H., Ugulino, W. and Fuks, H., 2013, March. Qualitative activity recognition of weight lifting exercises. In Proceedings of the 4th Augmented Human International Conference (pp. 116-123).

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Ads-Optimisation

This repository contains the implementation of reinforcement learning algorithm, UCB to optimize the selection of ad to maximise the gains of the company.

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Customer-Churn-Prediction

This repository contains the implementation of Churn Prediction model on Telco dataset.

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awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

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Movie-Review-Classification

This repository contains the implementation of move review classification in IMDB dataset using artificial neural networks.

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3DHistologicalReconstruction

This programme is a rigid and non-rigid registration of image sequences and includes a basic labelling, training and segmentation script. Originally designed for 3D volumetric organ reconstructions.

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Predicting-sale-from-social-media-ads-

This repository has a comparison of classification algorithms fro predicting whether or not a sale went through after an advertisement is posted on social media.

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AIF360

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

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Apriori-

This repository contains the algorithms to do Association Rule Learning to perform Market Basket Analysis

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Autoencoder

This repository contains the implementation of a movie recommendation system using autoencoder.

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CodingThings

This repository contains the solutions of Leetcode problems I am solving to prepare for data science/ machine learning interviews..

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Fraud-detection

This repository contains the implementation of Self organising maps for fraud detection.

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Handwritten-Digit-Detection

This repository contains the implementation of handwritten digit identification using Artificial Neural Networks

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IndianCars

Exploration and analysis of Indian cars dataset from Kaggle

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Newswires-Classification

This repository contains the code for newswires classification using deep learning. Since each news item can be classified into a mutually exclusive category, we will be using single-label multiclass classification.

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NLP

The repository contains the natural language processing technique to process Restaurant reviews. We used Bag of words technique to predict whether they liked the restaurant or not. The classification algorithm used is Naive Bayes algorithm.

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NLP_Roadmap

This repository contains the roadmap to learn Natural Language Processing

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PySparkNotes

This repository contains IPython Notebooks, links to notes that I created while learning PySpark

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RBM

This repository contains the implementation of RBM for a movie recommendation system. We would like to predict if the user liked the movie or now.

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Regression_with_ANN

This repository contains the code for regression using deep learning. The goal is to predict house prices using Artificial Neural Network.

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SQL_Masterclass_UoAIBSS

This repository was created to deliver a SQL MasterClass at University of Auckland

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Stock-Price-Prediction

This repository contains the code for stock price prediction using LSTM.

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The-cliche-project

This repository contains the cliche' project of recognizing dogs and cats using CNN.

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What-should-we-pay-her-

The code in this repository is the implementation of polynomial regression to predict the salary paid to an employee based on the level at which she has been hired.

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