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100-days-of-ml-code

100 Days of ML Coding

amexpert-2019

Dimension

analytics_vidhya

Codes related to activities on AV including articles, hackathons and discussions.

av-internship-assignment-on-eda---hr-analytics-2019

Task is to perform Exploratory Data Analysis(EDA) with Uni-variate and Bi-variate Analysis to get insights from the DataSet.

bank-marketing-dataset-analysis

The Portuguese Bank had run a telemarketing campaign in the past, making sales calls for a term-deposit product. Whether a prospect had bought the product or not is mentioned in the column named 'response'. The marketing team wants to launch another campaign, and they want to learn from the past one. You, as an analyst, decide to build a supervised model in R/Python and achieve the following goals: Reduce the marketing cost by X% and acquire Y% of the prospects (compared to random calling), where X and Y are to be maximized Present the financial benefit of this project to the marketing team

classification-using-scikit-learn-in-ml.

we will be using the MNIST dataset, which is a set of 70,000 small images of digits handwritten by high school students and employees of the US Census Bureau. Each image is labeled with the digit it represents. This set has been studied so much that it is often called the “Hello World” of Machine Learning: whenever people come up with a new classification algorithm, they are curious to see how it will perform on MNIST.

classify-song-genres-from-audio-data

Using a dataset comprised of songs of two music genres (Hip-Hop and Rock), I have trained a classifier to distinguish between the two genres based only on track information derived from Echonest (now part of Spotify). use the scikit-learn package to predict whether correctly classify a song's genre based on features such as danceability, energy, acousticness, tempo, etc. It will go over implementations of common algorithms such as PCA, logistic regression, decision trees, and so forth.

crud-operation-using-python-flask-framework

Performed CRUD Operation using Python Flask Framework.

data-lit-assignment-stats-and-probability-

data-science--cheat-sheet

Cheat Sheets

data-science-projects

DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.

datacamp_solutions_python

My solutions to DataCamp projects (now only Python)

datahacksummit2019

Resources of Data Hack Summit 2019

dating_app

For a dating app there are 4 users (two male & two female), they answer the same 10 onboarding compatibility Qs while setting up their user profiles. Create a ML model using python & AI ML framework of your choice to analyse their matching probability.

deep-learning-keras-tensorflow

Introduction to Deep Neural Networks with Keras and Tensorflow

deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

dhs2019_hacksession_nlp

Codes used for the hack session in DHS 2019

end-to-end-project-using-scikit-learn-in-machine-learning

This is an End to end Machine Learning Project using scikit-learn. The DataSource has been imported through web and link of the DataSet is " https://raw.githubusercontent.com/ageron/handson-ml/master/datasets/housing/housing.csv " . Now it's time to get hands dirty with Data and extract insights from it.

face-verification-system

Build a Face Recognition system for Face Verification task using dlib Library.

fecon235

Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hcl-ml-hiring-challenge---2020

HCL ML Hiring Challenge - 2020

house-price-prediction

Predict the sales price for each house. For each Id in the test set, you must predict the value of the Sale Price variable.

kaggle

Codes for Kaggle Competitions

login-operation-using-python-flask-framework

Login Operation using Python Flask Framework.

machine-learning-by-industry

A list of machine learning GitHub repos sorted by industry.

mcqgen

mit-deep-learning

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

ml

Codes related to various ML Hackathons

ml-end-to-end