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followers: 75.0 following: 12.0 repos: 42.0 gists: 0.0

Name: Deepesh Singh

Type: User

Bio: Student for Life

Location: Bangalore, India

Blog: www.deepeshsingh.online

Hi My name is Deepesh Singh

Data Scientist | Speaker | Teacher

I am a full time Data Scientist working at a logistic company. I also teach Learners on how to break into a Tech role esp. into Data Analyst and Data Science. I love to share my learnings with Beginners and you will see me giving part time trainings at Great Learning, Scaler, Upgrad and other places. My github profile will have all the codes that I use for Learning myself as well as training.

🌍 I'm based in bangalore
🖥️ See my portfolio at Website
✉️ You can contact me at [email protected]
🧠 I'm learning Data Engineering
🤝 I'm open to collaborating on Data Science Training

Skills

Socials

Deepesh Singh's Projects

analyticsvidhya_lastmanstanding

Last Man Standing competition on AnalyticsVidhya

aws-machine-learning-university-accelerated-cv

Machine Learning University: Accelerated Computer Vision Class

cart

Decision Trees, Random Forest, K Fold Cross Validation

clustering

Heirarcical and K means

coursera-ml-specialization

Andrew NGs new course on ML intro

coursera_git

Learnings on how to use Git from the Coursera Google IT specialization course

coursera_troubleshoot_debug

Learnings from the Coursera Course of same name. Part of Google's IT Certification

customer_churn_analysis

In the customer management lifecycle, customer churn refers to a decision made by the customer about ending the business relationship. It is also referred as loss of clients or customers. Customer loyalty and customer churn always add up to 100%. If a firm has a 60% of loyalty rate, then their loss or churn rate of customers is 40%. As per 80/20 customer profitability rule, 20% of customers are generating 80% of revenue. So, it is very important to predict the users likely to churn from business relationship and the factors affecting the customer decisions. We are going to show how logistic regression model using R can be used to identify the customer churn in the telecom dataset.

data_viz_functions

important functions to viz data

datasciencecoursera

for my coursera week 3

datasharing

The Leek group guide to data sharing

deepesh87

my personal repo

dont_overfit

Kaggle competition

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

house-priceprediction

Regression Problem Kaggle

how_to_git

common codes on how to use git

intro_to_the_math_of_intelligence

This is the code for "Intro - The Math of Intelligence" by Siraj Raval on Youtube

lift-charts-in-r

How to create Lift Chart and decile tables in R

linearprogramming

This repository will have solutions to SC0x course from MIT o edx.org

ml-revision

ML code revision High level

movie

network-intrusion-detection-system

Designed and developed an anomaly and misuse based intrusion detection system using neural networks. Technologies used: Java Weka and R. Java is used to prepare DataSets. R is used implement a neural network. Weka is used for data cleaning.