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MLInterview

★ 544 Open GitHub ↗

:octocat: A curated awesome list of AI Startups in India & Machine Learning Interview Guide. Feel free to contribute!

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# Machine Learning & Data Science Interview [![](https://img.shields.io/github/license/theainerd/MLInterview.svg)](https://github.com/theainerd/MLInterview/blob/master/LICENSE)

[![](https://sourcerer.io/fame/theainerd/theainerd/MLInterview/images/0)](https://sourcerer.io/fame/theainerd/theainerd/MLInterview/links/0)[![](https://sourcerer.io/fame/theainerd/theainerd/MLInterview/images/1)](https://sourcerer.io/fame/theainerd/theainerd/MLInterview/links/1)[![](https://sourcerer.io/fame/theainerd/theainerd/MLInterview/images/2)](https://sourcerer.io/fame/theainerd/theainerd/MLInterview/links/2)[![](https://sourcerer.io/fame/theainerd/theainerd/MLInterview/images/3)](https://sourcerer.io/fame/theainerd/theainerd/MLInterview/links/3)[![](https://sourcerer.io/fame/theainerd/theainerd/MLInterview/images/4)](https://sourcerer.io/fame/theainerd/theainerd/MLInterview/links/4)[![](https://sourcerer.io/fame/theainerd/theainerd/MLInterview/images/5)](https://sourcerer.io/fame/theainerd/theainerd/MLInterview/links/5)[![](https://sourcerer.io/fame/theainerd/theainerd/MLInterview/images/6)](https://sourcerer.io/fame/theainerd/theainerd/MLInterview/links/6)[![](https://sourcerer.io/fame/theainerd/theainerd/MLInterview/images/7)](https://sourcerer.io/fame/theainerd/theainerd/MLInterview/links/7)

> When you cease to dream, you cease to live.
  
[Data Science Interview Prep](https://in.udacity.com/course/data-science-interview-prep--ud944)

## Statistics & Probability
* [Intro-to-Descriptive-Statistics](https://towardsdatascience.com/intro-to-descriptive-statistics-252e9c464ac9)
* [How To Ace Data Science Interviews: Statistics](https://towardsdatascience.com/how-to-ace-data-science-interviews-statistics-f3d363ad47b)
## Machine Learning

### Data Cleaning/Exploratory Analysis
  * [Exploratory Data Analysis](https://www.youtube.com/watch?v=zHcQPKP6NpM&t=247s)
  * [How to Handle Missing Data](https://towardsdatascience.com/how-to-handle-missing-data-8646b18db0d4)
  * [Unboxing Outliers In Machine Learning](https://medium.com/datadriveninvestor/unboxing-outliers-in-machine-learning-d43fe40d88a6)

* [Regularization] [Regularization. Clarified.](https://medium.com/data-science-group-iitr/regularization-a-smooth-trick-to-increase-robustness-of-regression-models-a5e8a91737ff)

### Metrics
  
  * [Choosing the Right Metric for Evaluating ML Models — Part 1](https://towardsdatascience.com/choosing-the-right-metric-for-machine-learning-models-part-1-a99d7d7414e4)
  * [Choosing the Right Metric for Evaluating Machine Learning Models — Part 2](https://towardsdatascience.com/choosing-the-right-metric-for-evaluating-machine-learning-models-part-2-86d5649a5428)

## Deep Learning
* [Convolutional Neural Networks (CNNs / ConvNets)](http://cs231n.github.io/convolutional-networks/)
## Natural Language Processing
* [How to solve 90% of NLP problems: a step-by-step guide](https://blog.insightdatascience.com/how-to-solve-90-of-nlp-problems-a-step-by-step-guide-fda605278e4e)

## Computer Vision

## Programming
* [How To Ace Data Science Interviews: R/Python](https://towardsdatascience.com/how-to-ace-data-science-interviews-r-python-3a49982000de)
## Others

* [SQL] [How To Ace Data Science Interviews: SQL](https://towardsdatascience.com/how-to-ace-data-science-interviews-sql-b71de212e433)
* [Learn SQL] [SQL Scavenger Hunt Handbook](https://www.kaggle.com/rtatman/sql-scavenger-hunt-handbook)
* [Blogs] [May Edition: Getting A Job In Data Science](https://towardsdatascience.com/may-edition-getting-a-job-in-data-science-125996b1734c)

## These tips will keep you way ahead in the race
* [Tips] [Ten Job Search Hacks Everybody Needs To Know](https://humanworkplace.com/blog/ten-job-search-hacks-everybody-needs-to-know)
* [Cover Letter Advice] [Your Cover Letter Should Be About Me, Not You](https://medium.com/@janetktaylor/your-cover-letter-should-be-about-me-not-you-3f9c0c21773f)
* [Refresh Your Resume by Google](https://in.udacity.com/course/refresh-your-resume--ud243)

## Machine Learning/ Analytics Startups in India (Careers Page)

| Name | Product & Careers Page | Year Founded|
| :---: | :---: | :---: |
| ![](https://github.com/theainerd/MLInterview/blob/master/images/download.jpeg) **Arya.ai** | Simplifies buildout and manages deployment of Deep Learning based applications [Arya.ai Careers](https://angel.co/arya-ai/jobs) | 2013 |
| ![](https://github.com/theainerd/MLInterview/blob/master/images/a.png) **Haptik.ai** | World's largest chatbot platforms, building applications for consumers, publishers, and enterprises. [Haptik.ai Careers](https://haptik.ai/careers/) | 2013 |
| ![](https://github.com/theainerd/MLInterview/blob/master/images/edge%20network.png) **Edge Networks** | NextGen Technology Solutions for Workforce Transformation [Edge Networks Careers](https://edgenetworks.in/job-opportunities/) | 2012 |
| ![](https://github.com/theainerd/MLInterview/blob/master/images/c.jpeg) **Netradyne** | Creating Solutions for real world problems using Computer Vision and Deep Learning Technologies [Netradyne Careers](https://netradyne.com/careers/) | 2015|
| ![Niki.ai](https://d1qb2nb5cznatu.cloudfront.net/startups/i/728423-c4b43d84a2f4733555fed9de5ca1194a-medium_jpg.jpg "Niki AI") **niki.ai** | Bot that will guide you along with recommendations to reach the right service & make transactions [niki.ai Careers](https://angel.co/niki/jobs) | 2015 |
| ![](https://github.com/theainerd/MLInterview/blob/master/images/d.png) **Active.ai** | Delivers conversational banking services to help banks and financial institutions redefine their future digital strategy. [Active.ai Careers](https://active.ai/careers/) | 2016|
| ![](https://github.com/theainerd/MLInterview/blob/master/images/e.png) **AIndra Systems** | AIndra Systems is a technology ai startup that builds products in the artificial intelligence domain [AINDRA Careers](http://www.aindra.in/) | 2012 |
| ![](https://github.com/theainerd/MLInterview/blob/master/images/g.png) **Locus.sh** | Locus.sh uses data driven algorithms to optimize logistics for businesses. [Locus.sh Careers](https://locus.sh/careers/) | 2015 |
| ![Mad Street Den](https://imgee.s3.amazonaws.com/imgee/0bfb02e0a98c4c20a291b400c207f372.png) **Mad Street Den** |Computer Vision for fashion under the brand [Mad Street Den Careers](https://angel.co/mad-street-den/jobs) | 2013 |
| ![SocialCops](https://socialcops.com/images/old/global/logo-socialcops-dark.svg) **SocialCops** | Apps to collect data, visualization platforms [Social Cops Careers](https://socialcops.com/careers/culture/) | 2013 |
| ![](https://github.com/theainerd/MLInterview/blob/master/images/h.png) **Morph.ai** | Morph uses a chatbot to create personalized conversions for marketing. [Morph.ai Careers](https://blog.morph.ai/careers-morph-ai-67f3090efc0e/) | 2016|
| ![](https://github.com/theainerd/MLInterview/blob/master/images/i.png) **SigTuple** | SigTuple analyze visual medical data through artificial intelligence to aid diagnosis using intelligent screening solutions. [SigTuple Careers](https://sigtuple.bamboohr.com/jobs/) |2015 |
| ![](https://github.com/theainerd/MLInterview/blob/master/images/download.png) **Agara Labs** | Agara Labs is using deep learning to solve key problems at scale for global enterprises. [Agara Labs Careers](https://agaralabs.com/) | 2017|
| ![](https://github.com/theainerd/MLInterview/blob/master/images/i.jpeg) **Sigmoid** | Specializes in data science and data engineering solutions around the world [Sigmoid Careers](https://www.sigmoid.com/careers/current-openings/) | 2013 |
| ![](https://github.com/theainerd/MLInterview/blob/master/images/j.jpeg) **Tricog** | Tricog has a mission to reduce mortality caused by heart attacks. [Tricog Health Careers](https://angel.co/tricog/jobs)| 2014|
| ![](https://github.com/theainerd/MLInterview/blob/master/images/indigene.png) **Indegene** | Indegene is an Information Technology and Services company that assists healthcare organisations using analytics and technology. [Indegene Careers](https://careers.indegene.com/careers/Opportunities.aspx)| -- |
| ![](https://github.com/theainerd/MLInterview/blob/master/images/innoplexus.png) **Innoplexus** | It aims at cutting drug development costs by mainly using AI. [Innoplexus Careers](https://www.innoplexus.com/index.php/career/) | -- |
| ![](https://github.com/theainerd/MLInterview/blob/master/images/healthreflect.png) **HealthReflect** | The platform combines power of machine learning & artificial intelligence (A.I.) to offer predictive & preventive personalised medicine for every patient in India, China, Singapore, UAE & other middle eastern countries. [HealthReflect Careers](https://www.healthreflect.com/career) | -- |
### Refrences

* [Towards Data Science](https://towardsdatascience.com/)
* [Data Science Group, IITR](https://medium.com/data-science-group-iitr)
* [data-science-question-answer](https://github.com/ShuaiW/data-science-question-answer#cnn)
* [CS 229 ― Machine Learning CheatSheet](https://stanford.edu/~shervine/teaching/cs-229.html)

Thank you guys if it helped you kindly share this repo with your fellow developers . Also don't forget to create a pull request if you find something relevant .

MLInterview

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