{"id":13684971,"url":"https://github.com/theainerd/MLInterview","last_synced_at":"2025-05-01T00:33:57.675Z","repository":{"id":54198383,"uuid":"132326666","full_name":"theainerd/MLInterview","owner":"theainerd","description":":octocat: A curated awesome list of AI Startups in India \u0026 Machine Learning Interview Guide. 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awesome AI lists"],"sub_categories":[],"readme":"# Machine Learning \u0026 Data Science Interview [![](https://img.shields.io/github/license/theainerd/MLInterview.svg)](https://github.com/theainerd/MLInterview/blob/master/LICENSE)\n\n[![](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)\n\n\u003e When you cease to dream, you cease to live.\n  \n[Data Science Interview Prep](https://in.udacity.com/course/data-science-interview-prep--ud944)\n\n## Statistics \u0026 Probability\n* [Intro-to-Descriptive-Statistics](https://towardsdatascience.com/intro-to-descriptive-statistics-252e9c464ac9)\n* [How To Ace Data Science Interviews: Statistics](https://towardsdatascience.com/how-to-ace-data-science-interviews-statistics-f3d363ad47b)\n## Machine Learning\n\n  ### Data Cleaning/Exploratory Analysis\n  * [Exploratory Data Analysis](https://www.youtube.com/watch?v=zHcQPKP6NpM\u0026t=247s)\n  * [How to Handle Missing Data](https://towardsdatascience.com/how-to-handle-missing-data-8646b18db0d4)\n  * [Unboxing Outliers In Machine Learning](https://medium.com/datadriveninvestor/unboxing-outliers-in-machine-learning-d43fe40d88a6)  \n\n* [Regularization] [Regularization. Clarified.](https://medium.com/data-science-group-iitr/regularization-a-smooth-trick-to-increase-robustness-of-regression-models-a5e8a91737ff)\n\n  ### Metrics\n  \n  * [Choosing the Right Metric for Evaluating ML Models — Part 1](https://towardsdatascience.com/choosing-the-right-metric-for-machine-learning-models-part-1-a99d7d7414e4)\n  * [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)\n\n## Deep Learning\n* [Convolutional Neural Networks (CNNs / ConvNets)](http://cs231n.github.io/convolutional-networks/)\n## Natural Language Processing\n* [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)\n\n## Computer Vision\n\n## Programming\n* [How To Ace Data Science Interviews: R/Python](https://towardsdatascience.com/how-to-ace-data-science-interviews-r-python-3a49982000de)\n## Others\n\n* [SQL] [How To Ace Data Science Interviews: SQL](https://towardsdatascience.com/how-to-ace-data-science-interviews-sql-b71de212e433)\n* [Learn SQL] [SQL Scavenger Hunt Handbook](https://www.kaggle.com/rtatman/sql-scavenger-hunt-handbook)\n* [Blogs] [May Edition: Getting A Job In Data Science](https://towardsdatascience.com/may-edition-getting-a-job-in-data-science-125996b1734c)\n\n## These tips will keep you way ahead in the race\n* [Tips] [Ten Job Search Hacks Everybody Needs To Know](https://humanworkplace.com/blog/ten-job-search-hacks-everybody-needs-to-know)\n* [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)\n* [Refresh Your Resume by Google](https://in.udacity.com/course/refresh-your-resume--ud243)\n\n## Machine Learning/ Analytics Startups in India (Careers Page)\n\n| Name    | Product \u0026 Careers Page     | Year Founded|\n| :---:  | :---: | :---: |\n| ![](https://github.com/theainerd/MLInterview/blob/master/images/download.jpeg) \u003c/br\u003e **Arya.ai** | Simplifies buildout and manages deployment of Deep Learning based applications \u003c/br\u003e [Arya.ai Careers](https://angel.co/arya-ai/jobs) | 2013 |\n| ![](https://github.com/theainerd/MLInterview/blob/master/images/a.png) \u003c/br\u003e **Haptik.ai** | World's largest chatbot platforms, building applications for consumers, publishers, and enterprises. \u003c/br\u003e [Haptik.ai Careers](https://haptik.ai/careers/) | 2013 |\n| ![](https://github.com/theainerd/MLInterview/blob/master/images/edge%20network.png) \u003c/br\u003e **Edge Networks** |   NextGen Technology Solutions for Workforce Transformation \u003c/br\u003e [Edge Networks Careers](https://edgenetworks.in/job-opportunities/) | 2012 |\n| ![](https://github.com/theainerd/MLInterview/blob/master/images/c.jpeg) \u003c/br\u003e **Netradyne** |  Creating Solutions for real world problems using Computer Vision and Deep Learning Technologies \u003c/br\u003e [Netradyne Careers](https://netradyne.com/careers/) | 2015|\n| ![Niki.ai](https://d1qb2nb5cznatu.cloudfront.net/startups/i/728423-c4b43d84a2f4733555fed9de5ca1194a-medium_jpg.jpg \"Niki AI\") \u003c/br\u003e **niki.ai** | Bot that will guide you along with recommendations to reach the right service \u0026 make transactions \u003c/br\u003e [niki.ai Careers](https://angel.co/niki/jobs) | 2015 |\n| ![](https://github.com/theainerd/MLInterview/blob/master/images/d.png) \u003c/br\u003e **Active.ai** | Delivers conversational banking services to help banks and financial institutions redefine their future digital strategy. \u003c/br\u003e [Active.ai Careers](https://active.ai/careers/) | 2016|\n| ![](https://github.com/theainerd/MLInterview/blob/master/images/e.png) \u003c/br\u003e **AIndra Systems** | AIndra Systems is a technology ai startup that builds products in the artificial intelligence domain \u003c/br\u003e [AINDRA Careers](http://www.aindra.in/) | 2012 |\n| ![](https://github.com/theainerd/MLInterview/blob/master/images/g.png) \u003c/br\u003e **Locus.sh** |  Locus.sh uses data driven algorithms to optimize logistics for businesses. \u003c/br\u003e [Locus.sh Careers](https://locus.sh/careers/) | 2015 |\n| ![Mad Street Den](https://imgee.s3.amazonaws.com/imgee/0bfb02e0a98c4c20a291b400c207f372.png) \u003c/br\u003e **Mad Street Den** |Computer Vision for fashion under the brand \u003c/br\u003e [Mad Street Den Careers](https://angel.co/mad-street-den/jobs) | 2013 |\n| ![SocialCops](https://socialcops.com/images/old/global/logo-socialcops-dark.svg) \u003c/br\u003e **SocialCops** | Apps to collect data, visualization platforms \u003c/br\u003e [Social Cops Careers](https://socialcops.com/careers/culture/) | 2013 |\n| ![](https://github.com/theainerd/MLInterview/blob/master/images/h.png) \u003c/br\u003e **Morph.ai** | Morph uses a chatbot to create personalized conversions for marketing. \u003c/br\u003e [Morph.ai Careers](https://blog.morph.ai/careers-morph-ai-67f3090efc0e/) | 2016|\n| ![](https://github.com/theainerd/MLInterview/blob/master/images/i.png) \u003c/br\u003e **SigTuple** |  SigTuple analyze visual medical data through artificial intelligence to aid diagnosis using intelligent screening solutions. \u003c/br\u003e [SigTuple Careers](https://sigtuple.bamboohr.com/jobs/)  |2015 |\n| ![](https://github.com/theainerd/MLInterview/blob/master/images/download.png) \u003c/br\u003e **Agara Labs** | Agara Labs is using deep learning to solve key problems at scale for global enterprises. \u003c/br\u003e [Agara Labs Careers](https://agaralabs.com/)  | 2017|\n| ![](https://github.com/theainerd/MLInterview/blob/master/images/i.jpeg) \u003c/br\u003e **Sigmoid** |  \u003c/br\u003e Specializes in data science and data engineering solutions around the world [Sigmoid Careers](https://www.sigmoid.com/careers/current-openings/) | 2013 |\n| ![](https://github.com/theainerd/MLInterview/blob/master/images/j.jpeg) \u003c/br\u003e **Tricog** | Tricog has a mission to reduce mortality caused by heart attacks. \u003c/br\u003e  [Tricog Health Careers](https://angel.co/tricog/jobs)| 2014|\n| ![](https://github.com/theainerd/MLInterview/blob/master/images/indigene.png) \u003c/br\u003e **Indegene** | Indegene is an Information Technology and Services company that assists healthcare organisations using analytics and technology. \u003c/br\u003e [Indegene Careers](https://careers.indegene.com/careers/Opportunities.aspx)| -- |\n| ![](https://github.com/theainerd/MLInterview/blob/master/images/innoplexus.png) \u003c/br\u003e **Innoplexus** | It aims at cutting drug development costs by mainly using AI.\u003c/br\u003e [Innoplexus Careers](https://www.innoplexus.com/index.php/career/)  | -- |\n| ![](https://github.com/theainerd/MLInterview/blob/master/images/healthreflect.png) \u003c/br\u003e **HealthReflect** |  The platform combines power of machine learning \u0026 artificial intelligence (A.I.) to offer predictive \u0026 preventive personalised medicine for every patient in India, China, Singapore, UAE \u0026 other middle eastern countries. \u003c/br\u003e [HealthReflect Careers](https://www.healthreflect.com/career) | -- |\n### Refrences\n\n* [Towards Data Science](https://towardsdatascience.com/)\n* [Data Science Group, IITR](https://medium.com/data-science-group-iitr)\n* [data-science-question-answer](https://github.com/ShuaiW/data-science-question-answer#cnn)\n* [CS 229 ― Machine Learning CheatSheet](https://stanford.edu/~shervine/teaching/cs-229.html)\n\nThank 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 . \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftheainerd%2FMLInterview","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftheainerd%2FMLInterview","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftheainerd%2FMLInterview/lists"}