Python Scripts !.

Useful class scripts such as twitter comment scrap, pdf to excel extractor etc

Rest

Useful to scrap tweets by a person
Outputs most recent 200 tweets

Streaming

Scrapping tweets by keywords
limited to 200

Mapping Facebook data

.json file import
Finding trend

Loss functions in ML
Simple Linear regression
Logistric Regression from Scratch
Neural Network from Scratch

Machine Learning Practice

Supervised and Unsupervised
MNIST digit
Ways of validation
Simple Feature Engineering
Naive Bayes
Linear Regression (depth)
SVM (depth)
Face Recognition (SVM)
Random Forest Classifier
Digit Recognition (Random Forest)
PCA
PCA: Hand writtern digits
Student Recommendation - ML Pipeline
Feature Engineering - Categorical
Image Features
Classifying Genetic Mutations
Flask startup code
Code Practice
Deployment of Machine Learning Models Udemy Course: CNN Code

Thank you!

Name		Name	Last commit message	Last commit date
Latest commit History 100 Commits
BERT.ipynb		BERT.ipynb
CNNProdCode.zip		CNNProdCode.zip
Code_Crazy_pies.ipynb		Code_Crazy_pies.ipynb
Coding_Practice.py		Coding_Practice.py
Extraction from text.ipynb		Extraction from text.ipynb
Face Recognition (SVM).ipynb		Face Recognition (SVM).ipynb
Image features.ipynb		Image features.ipynb
Iris_import.ipynb		Iris_import.ipynb
JSON_Import.py		JSON_Import.py
Linear Regression (depth).ipynb		Linear Regression (depth).ipynb
Linear regression.ipynb		Linear regression.ipynb
Logistic from scratch.ipynb		Logistic from scratch.ipynb
Loss funcitons in ML.ipynb		Loss funcitons in ML.ipynb
MNIST digits.ipynb		MNIST digits.ipynb
Naive Bayes.ipynb		Naive Bayes.ipynb
Neural Network from Scratch.ipynb		Neural Network from Scratch.ipynb
PCA- Hand written digits.ipynb		PCA- Hand written digits.ipynb
Pdf_to_Excel_Extraction.ipynb		Pdf_to_Excel_Extraction.ipynb
Principal Component Analysis.ipynb		Principal Component Analysis.ipynb
README.md		README.md
Random Forest for Digit Detection.ipynb		Random Forest for Digit Detection.ipynb
Random Forest.ipynb		Random Forest.ipynb
SVM (in depth).ipynb		SVM (in depth).ipynb
Simple Feature Engineering.ipynb		Simple Feature Engineering.ipynb
Simple Linear Regression.ipynb		Simple Linear Regression.ipynb
Student Recommendation - ML pipeline.ipynb		Student Recommendation - ML pipeline.ipynb
Supervised and Unsupervised.ipynb		Supervised and Unsupervised.ipynb
Ways of Validation .ipynb		Ways of Validation .ipynb
hello.py		hello.py
rest.py		rest.py
streaming.py		streaming.py
text from HTML.ipynb		text from HTML.ipynb

ashishtele/Python_Scripts

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Python Scripts !.

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Mapping Facebook data

Machine Learning Practice

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