kushalvenkatesh Goto Github PK

junitin28minutes

JUNIT Tutorial For Beginners

jupyter

Jupyter metapackage for installation, docs and chat

jupyter-book

Create an online book with Jupyter Notebooks and Jekyll

kafka

A distributed publish/subscribe messaging service

lab7-giraph-pagerank

lab7-giraph-pagerank

lambda-refarch-mapreduce

This repo presents a reference architecture for running serverless MapReduce jobs. This has been implemented using AWS Lambda and Amazon S3.

learn-django-payment-processing

learndatascience

Open Content for self-directed learning in data science

lets-quiz

A quiz application using Django framework.

linear-regression-scratch-python

About: This is a Linear Regression Model made in Python (only two external dependencies; Numpy and Pandas). This Model Predicts the house prices from the Famous Boston House Pricing Dataset. The Best thing about this model is that it is made from scratch, i.e, I have not used any High-level Libraries such as Tensorflow, Torch, Scikit-learn, etc. This makes the overall model performance much Customised and Easier.

linear_regression_model_on_dunkin_donuts_dataset

list_of_recommender_systems

A List of Recommender Systems and Resources

lstm_rnn_tutorials_with_demo

LSTM-RNN Tutorial with LSTM and RNN Tutorial with Demo with Demo Projects such as Stock/Bitcoin Time Series Prediction, Sentiment Analysis, Music Generation using Keras-Tensorflow

luigi

Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

machine-learning

Workshop on Machine Learning in Python

machine-learning-in-law

This project explores the use of ML in the legal sector.

machine-learning-stanford-university-coursera

Contains the Course Material and Assignment Solutions for the Machine Learning Course at Stanford University on Coursera.

machine-learning-with-python

Python codes for common Machine Learning Algorithms

machinelearning

This project contain some machine learning algrithm demo.Maybe the code is also useful to you.

machinelearningwithpython

Starter files for Pluralsight course: Understanding Machine Learning with Python

marketing-data-science

Analytics and data science business case studies to identify opportunities and inform decisions about products and features. Topics include Markov chains, A/B testing, customer segmentation, and machine learning models (logistic regression, support vector machines, and quadratic discriminant analysis).

matplotlib

matplotlib: plotting with Python

matrix-hadoop-tutorial

A set of tutorial codes about matrix methods in Hadoop

megagrep

Megagrep helps beginning a code review by searching for keywords in the code using "grep". It does not search for vulnerabilities directly but for places where you could manually find some.

metadataextractor

Python repo to extract metadata from a variety of documents (MS Office docs, PDF, images)

metadata_extraction_fastapi

meteoforecast

A package to access outputs from Numerical Weather Prediction models both in raster format and as a time series for a location

mkl-dnn

Intel(R) Math Kernel Library for Deep Neural Networks (Intel(R) MKL-DNN)

ml-python

machine learning application in python

mlclass

Python code for Machine Learning course from Coursera