Implementing Machine Learning and Deep Learning algorithms and project step by step/Day by Day.
Target is to go through the basics of ML and DL and then doing projects in this field.
For Machine Learning data we can use this site https://archive.ics.uci.edu/ml/datasets.html ,lots of categorized data is available ,more we test the better our model will be
Datasets can also be collected from Kaggle,UCI,MyGov Dataset etc.If you don't have High end laptop with 8+ Gigs of Ram and 2+ Gigs of GPU then you can run your model on https://colab.research.google.com which is completely free, and also on AWS for students which is free for 1 year.
1.Simple Linear Regression
2.Classification
3.Support Vector Machine
4.Clustering
5.Neural Networks
6.Deep Learning Specialization
savannahar68/Machine_Learning
Practically implementing ML algorithms and few small projects
Jupyter NotebookApache-2.0