anand-kumar4 Goto Github PK

2015

Public material for CS109

a-to-z-resources-for-students

:ballot_box_with_check: Curated list of resources for college students :octocat: Show your :heart: by giving a :star:

analytics_vidhya

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

automobile-dataset-analysis

Analysing the automobile dataset

awesome-gcp-certifications

A curated list of resources for learning about Google Cloud Platform certifications and how to prepare for it.

awesome-project-ideas

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

awesome-spark

A curated list of awesome Apache Spark packages and resources.

banking-marketing-database

For this project, we will use the large Bank Marketing database set at UCI Machine learning repository which is related to direct marketing campaigns of a Portuguese banking institution. The marketing campaigns were based on phone calls. Often, more than one contact to the same client was required, in order to access if the product (bank term deposit) would be (‘yes’) or not (‘no’) subscribed. There has been a revenue decline for the Portuguese bank and they would like to know what actions to take. After the investigation, we found out that the root cause is that their clients are not depositing as frequently as before. In addition, banks also hold a better chance to persuade term deposit clients into buying other products such as funds or insurance to further increase their revenues. As a result, the Portuguese bank would like to identify existing clients that have higher chance to subscribe for a term deposit and focus marketing effort on such clients. Through this exercise, we will be building few classifiers to predict whether a particular client will subscribe to term deposit or not. If classifier has very high accuracy it can help the manager to filter clients and use available resources more efficiently to achieve the campaign goal. Besides, we would also try to find influential factors for the decision so that we can establish an efficient and precise campaigning strategy. The proper strategy would reduce cost and improve long-term relations with the clients.

bdtc-hive

Presentation on Apache Hive at Big Data TechCon

bigdata-interview-prep

bootcamp-digitrecognitionapp

Code and Data Files relevant to our Bootcamp Digit Recognition App Project.

coding-exercies

Coding Questions Solved in Python

competitive-programmming

Questions solved from Various Coding websites viz. HackerRank, HackerEarth, CodeChef, CodingNinja and other websites. This repository also contains Questions from various offline and onsite competitions. Programs that we find in the competitions and some brainstorming questions

cs109-dl-videos

Shell script to scrape Harvard CS109 (Intro to Data Science) lecture videos

data-engineering-gcp

Data Engineering on Google Cloud Platform

data-engineering-zoomcamp

Free Data Engineering course!

data-pipelines-course

Course materials for my data pipeline video course with O'Reilly

data-science-interview-resources

A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview.

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

data-science-on-gcp

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

go

The Open Source Data Science Masters

helloworld

landmark-group-data-science-hiring-challenge-final-solution

LandMark Group Data Science Hiring Challenge Final Source Code

learn_machine_learning_in_3_months

This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube

leetcode-solutions

:octocat: (Weekly Update) Python / C++ 11 Solutions of All 1117 LeetCode Problems

machine-learning---python

MovieLens Data Analysis

machine-learning-for-trading

Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.

mlinception-assignment

This is for tutorial purpose and contains Machine Learning Assignments from Course - Datum Guy MLR Assignment.

predict-the-flight-ticket-price

MACHINEHACK-HACKATHON

repo-2017

Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano