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Git vs Gitlab vs Github | Git vs Github vs Gitlab for beginners | Git vs Gitlab vs Github
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Git vs Gitlab vs Github | Git vs Github vs Gitlab for beginners | Git vs Gitlab vs Github
#datascience #ai #machinelearning
Hello,
My name is Aman and I am a Data Scientist.
Topics for the video:
Follow on Instagram: unfold_data_science
About Unfold Data science: This channel is to help people understand the basics of data science through simple examples in an easy way. Anybody without prior knowledge of computer programming or statistics or machine learning and artificial intelligence can get an understanding of data science at a high level through this channel. The videos uploaded will not be very technical in nature and hence can be easily grasped by viewers from different backgrounds as well.
Book recommendation for Data Science:
Category 1 - Must Read For Every Data Scientist:
Category 2 - Overall Data Science:
Category 3 - Statistics and Mathematics:
Category 4 - Machine Learning:
Category 5 - Programming:
My Studio Setup:
Join the Facebook group :
Follow on Twitter: @unfoldds
Watch python for data science playlist here:
Watch the statistics and mathematics playlist here :
Watch End to End Implementation of a simple machine-learning model in Python here:
Learn Ensemble Model, Bagging, and Boosting here:
Build Career in Data Science Playlist:
Artificial Neural Network and Deep Learning Playlist:
Natural language Processing playlist:
Understanding and building a recommendation system:
Access all my codes here:
#datascience #ai #machinelearning
Hello,
My name is Aman and I am a Data Scientist.
Topics for the video:
Follow on Instagram: unfold_data_science
About Unfold Data science: This channel is to help people understand the basics of data science through simple examples in an easy way. Anybody without prior knowledge of computer programming or statistics or machine learning and artificial intelligence can get an understanding of data science at a high level through this channel. The videos uploaded will not be very technical in nature and hence can be easily grasped by viewers from different backgrounds as well.
Book recommendation for Data Science:
Category 1 - Must Read For Every Data Scientist:
Category 2 - Overall Data Science:
Category 3 - Statistics and Mathematics:
Category 4 - Machine Learning:
Category 5 - Programming:
My Studio Setup:
Join the Facebook group :
Follow on Twitter: @unfoldds
Watch python for data science playlist here:
Watch the statistics and mathematics playlist here :
Watch End to End Implementation of a simple machine-learning model in Python here:
Learn Ensemble Model, Bagging, and Boosting here:
Build Career in Data Science Playlist:
Artificial Neural Network and Deep Learning Playlist:
Natural language Processing playlist:
Understanding and building a recommendation system:
Access all my codes here:
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