Must learn free courses from Harvard.
🤓 Following is the list of free courses that Harvard is offering, in the data-science and machine learning space:

1. Data Science: Machine Learning.
2. Data Science: Inference and Modeling.
3. Data Science: Probability.
4. Data Science: Visualization.
5. Data Science: Productivity Tools.
6. Data Science: R basics.
7. Statistics and R.
8. Linear Models and Matrix Algebra.

🖇️ Link to the courses: http://bit.ly/harvard-free-ml-courses

Note: While you can enroll in the course and access all the material for free, you have to upgrade the course with a certain fee in case you wanted to get a verified certificate.

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https://dzone.com/articles/6-free-data-mining-and-machine-learning-ebooks

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https://medium.com/@brenspiration/free-courses-and-resources-on-making-chatbots-ac9b3b2aab74

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Build your chat bot 🤖

Here you go, free courses for you😃

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*1. Free Python Courses*

https://www.udemy.com/topic/python/free/?ranMID=39197&ranEAID=eIPzE43Ui8&ranSiteID=e.IPzE43Ui8-zhLIC15hcALxWUpMK4eguA&LSNPUBID=eIPzE43Ui8

*2. Free Java Courses*

https://www.udemy.com/topic/java/free/?ranMID=39197&ranEAID=eIPzE43Ui8&ranSiteID=e.IPzE43Ui8-zhLIC15hcALxWUpMK4eguA&LSNPUBID=eIPzE43Ui8

*3. Free C/C++ Courses*

https://www.udemy.com/courses/search/?price=price-free&q=c&sort=most-reviewed&src=ukw&ranMID=39197&ranEAID=e%2AIPzE43Ui8&ranSiteID=e.IPzE43Ui8-_5Nlwdd2LDJuHycGJ9gWBQ&LSNPUBID=e%2AIPzE43Ui8

*4. Free JavaScript Courses*

https://www.udemy.com/topic/javascript/free/?ranMID=39197&ranEAID=eIPzE43Ui8&ranSiteID=e.IPzE43Ui8-zhLIC15hcALxWUpMK4eguA&LSNPUBID=eIPzE43Ui8

*5. Free Go programming language Courses*

https://www.udemy.com/courses/search/?LSNPUBID=e%2AIPzE43Ui8&price=price-free&q=go&ranEAID=e%2AIPzE43Ui8&ranMID=39197&ranSiteID=e.IPzE43Ui8-mzg.dRaAHqWBf7RviZqBnQ&src=ukw

*6. Free R Courses*

https://www.udemy.com/courses/search/?LSNPUBID=e%2AIPzE43Ui8&kw=r%20prog&price=price-free&q=r%20programming&ranEAID=e%2AIPzE43Ui8&ranMID=39197&ranSiteID=e.IPzE43Ui8-sbCI8GwC778MKVD2IsvCSw&src=sac

*7. Free Swift Courses*

https://www.udemy.com/topic/Swift/free/?ranMID=39197&ranEAID=eIPzE43Ui8&ranSiteID=e.IPzE43Ui8-zhLIC15hcALxWUpMK4eguA&LSNPUBID=eIPzE43Ui8

*8. Free PHP Courses*

https://www.udemy.com/topic/php/free/?ranMID=39197&ranEAID=eIPzE43Ui8&ranSiteID=e.IPzE43Ui8-zhLIC15hcALxWUpMK4eguA&LSNPUBID=eIPzE43Ui8

*9. Free C# Courses*

https://www.udemy.com/courses/search/?price=price-free&q=c&sort=most-reviewed&src=ukw&ranMID=39197&ranEAID=e%2AIPzE43Ui8&ranSiteID=e.IPzE43Ui8-_5Nlwdd2LDJuHycGJ9gWBQ&LSNPUBID=e%2AIPzE43Ui8

*10. Free Matlab Courses*

https://www.udemy.com/topic/matlab/free/?ranMID=39197&ranEAID=eIPzE43Ui8&ranSiteID=e.IPzE43Ui8-zhLIC15hcALxWUpMK4eguA&LSNPUBID=eIPzE43Ui8

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Machine Learning and Data Science free online courses to do in quarantine

A. Beginner courses
1. Machine Learning
2. Machine Learning with Python

B. Intermediate courses
3. Neural Networks and Deep Learning
4. Convolutional Neural Networks

C. Advanced course
5. Advanced Machine Learning Specialization


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Code and Steps to follow:
https://github.com/DashBarkHuss/100-days-of-code/blob/master/post-log.md#avatarify-1

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A beginner-friendly list of data science projects


1) Rainfall in India

Project type: Visualization
Link to dataset : https://www.kaggle.com/rajanand/rainfall-in-india

2) Global Suicide Rates

Project type: Exploratory Data Analysis
Link to dataset : https://www.kaggle.com/russellyates88/suicide-rates-overview-1985-to-2016

3) Summer Olympic Medals

Project type: Exploratory Data Analysis
Link to dataset : https://www.kaggle.com/divyansh22/summer-olympics-medals

4) World Happiness Report

Project type: Exploratory Data Analysis
Link to dataset : https://www.kaggle.com/unsdsn/world-happiness

5) Pollution in the United States

Project type: Visualization
Link to dataset : https://www.kaggle.com/sogun3/uspollution

6) Nutrition Facts for McDonald’s Menu

Project type: Exploratory Data Analysis
Link to dataset : https://www.kaggle.com/mcdonalds/nutrition-facts

7) Red Wine Quality

Project type: Prediction Modeling
Link to dataset : https://www.kaggle.com/uciml/red-wine-quality-cortez-et-al-2009

To learn AI from basics:
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😃Huge List of Free Machine Learning resources like 620K+ Datasets, 150+ Notebooks, & many more......

Link : https://aihub.cloud.google.com/u/0/

To learn AI from basics:
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Pose Animator takes a 2D vector illustration and animates its containing curves in real-time based on the recognition result from PoseNet and FaceMesh. It borrows the idea of skeleton-based animation from computer graphics and applies it to vector characters. ⁠Tag your animation and dev friends 📺
Github repo and tech design documentation:⁠
https://github.com/yemount/pose-animator/⁠

To learn AI from basics:
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BizHawk is a multi-platform emulator with full rerecording support and Lua scripting. BizHawk focuses on core accuracy and power user tools while still being an easy-to-use emulator for casual gaming.
Play Mario using NEAT Algorithm

Code: https://lnkd.in/gx8bmPE

To learn AI from basics:
YouTube: https://www.youtube.com/c/asifimmanad

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Python Environment Setup for ML

https://www.instagram.com/p/CBLXr5qAddK/?igshid=1stdv29v32of8

To learn AI from basics:
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JD for DBA :Client Location at Mumbai: (i) Graduate in Computer Science/IT/BCA/MCA/Equivalent discipline.
(ii) Qualified Data Base Administrator course from any Oracle certified firm/training establishment.
(iii) At least five years work experience in as Oracle data base administrator administering/ undertaking backups and Data restoration. Must have worked in Red Hat Enterprise Linux server and Microsoft Windows Server 2016 and above.
(iv) Experience with Oracle Database, Replication,Performance Tuning, Backup and Recovery, etc.
(v) Should be able to administer/ implement all inherent features of 12.2g- 19g viz Data guard, Golden gate etc
(vi) Should be able to administer/ install Automatic storage management (ASM) and Real Application Cluster (RAC).
(vii) Should be able to generate oracle forms and reports
viii) Should be able to link and develop DB links with web based applications
(ix) Should be able to assess System performance and weed out anomalies and maintain Database integrity.
(x) Should be proficient in database management/ administration of Oracle on both Windows, Linux OS including virtual environments.
(xi) Should be able to undertake partitioning of very large databases, administer Oracle discover, setup materialized view, undertake design and administration of Schemas of data warehouse.
(xii) Should be able to manage BI tools such as Oracle discover, Oracle warehouse builder and Oracle Data mining.