Ai workshop

Step-1:

First, install Ananconda which comes preinstalled with Python packages, and jupyter notebook.
You could install it from the link https://www.anaconda.com/download/#linux or from the thumbdrive we provide.

Step-2:

Then, clone this repository to your local machine by
1. "git clone https://github.com/dteamai/ai-workshop" for linux users
2. Use Download option in the github for windows users.

Step-3:

Finally, Navigate to the cloned repository from the command line or anaconda prompt
Then run the command "jupyter notebook"

You are all set to go!!

Name		Name	Last commit message	Last commit date
Latest commit History 23 Commits
.gitignore		.gitignore
.ipynb_checkpoints		.ipynb_checkpoints
Exploratory Data Analysis (Minimized version)		Exploratory Data Analysis (Minimized version)
MNIST_data		MNIST_data
data		data
01_Intro_to_Jupyter_notebook.ipynb		01_Intro_to_Jupyter_notebook.ipynb
02_Intro_to_python.ipynb		02_Intro_to_python.ipynb
03_Numpy_Essentials.ipynb		03_Numpy_Essentials.ipynb
04_Data_Visualisation.ipynb		04_Data_Visualisation.ipynb
05_Pandas_Essentials.ipynb		05_Pandas_Essentials.ipynb
06_Cleaning_and_Preparing_Data.ipynb		06_Cleaning_and_Preparing_Data.ipynb
07_Intro_to_Machine_Learning.ipynb		07_Intro_to_Machine_Learning.ipynb
08_ML_with_Sci-kit_Learn.ipynb		08_ML_with_Sci-kit_Learn.ipynb
09_Getting_started_with_Neural_networks.ipynb		09_Getting_started_with_Neural_networks.ipynb
10_Getting_started_with_Tensorflow.ipynb		10_Getting_started_with_Tensorflow.ipynb
BackPropogation_pure_python.py		BackPropogation_pure_python.py
Introduction.pptx		Introduction.pptx
README.md		README.md

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