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kpasha's Projects

financepy icon financepy

A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.

finquant icon finquant

A program for financial portfolio management, analysis and optimisation.

frieds.github.io icon frieds.github.io

Tutorials on Python programming, data analysis, data visualizations and tech career advice

fundamentalanalysis icon fundamentalanalysis

Fully-fledged Fundamental Analysis package capable of collecting 10 years of Company Profiles, Financial Statements, Ratios and Stock Data of 13.000+ companies.

gallery icon gallery

A gallery of Python scripts and reports

gingerit icon gingerit

Python wrapper for correcting spelling and grammar mistakes based on the context of complete sentences. Proof of conecpt

git-hound icon git-hound

Reconnaissance tool for GitHub code search. Finds exposed API keys using pattern matching, commit history searching, and a unique result scoring system.

gs-quant icon gs-quant

Python toolkit for quantitative finance

handson-ml icon handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

handwriting-digits-recognition-project-with-opencv-keras-and-tensorflow icon handwriting-digits-recognition-project-with-opencv-keras-and-tensorflow

Khadeer Pasha. MBA Finance plus Data Science. This is my transition step from my previous job to a new level of the task. #MB191317 #SJES #Regex Software linear regression to solve a very different kind of problem: image classification. We begin by installing and importing tensorflow. tensorflow contains some utilities for working with image data. It also provides helper classes to download and import popular datasets like MNIST automatically In this post you discovered the importance of having a robust way to estimate the performance of your deep learning models on unseen data. discovered three ways that you can estimate the performance of your deep learning models in Python using the Keras library:

homemade-machine-learning icon homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

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