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100-pandas-puzzles

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

100daysofcode

algorithmic-trading

Quantitative Momentum Investing& Quantitative Value Investing Strategies

analytics_vidhya

Codes related to activities on AV including articles, hackathons and discussions.

awesome-pandas

A collection of resources for pandas (Python) and related subjects.

bank-marketing-project--customer-segmentation-analysis

Exploratory Analysis/K means Clustering/PCA

bert-squad

SQuAD Question Answering Using BERT, PyTorch

best-data-science-resources

This repository contains the best Data Science free hand-picked resources to equip you with all the industry-driven skills and interview preparation kit.

break-the-ice-with-python

The repository is about 100+ python programming exercise problem discussed, explained, and solved in different ways

building-propensity-model

Customer churn Modelling

case_study_olympic_medals

Manipulating DataFrames with pandas - Working with data recorded from the Summer Olympic games that goes as far back as 1896!

case_study_sunlight_in_austin

pandas Foundations - Working with real-world weather and climate data.

churn-modeling-using-neural-networks-and-hyperparameter-tuning

Churn Modeling using Neural Networks and Hyperparameter Tuning (TensorFlow and Keras)

codingdisciple.content

Source files for the content on my data science website

coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks;

coursera-pandas-project

Data Analysis on Pandas Homework

customer-clustering-segmentation-challenge

My work for the KPMG (open to public) challenge for bank customer segmentation based on its annual banking industry survey. Dimension of dataset 40,000rows x 150 columns

customer-segmentation

data-science

decision-tree-from-scratch

deep-learning-keras-tensorflow

Introduction to Deep Neural Networks with Keras and Tensorflow

deeplearning.ai-natural-language-processing-specialization

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

deeplearning.ai-natural-language-processing-specialization-1

This is all my notebooks, lab solutions, and assignments for the DeepLearning.AI Natural Language Processing Specialization on Coursera.

easy-deep-learning-with-keras

Keras tutorial for beginners (using TF backend)

educate-resource-for-machine-learning

This ebook from Jason Brownlee, and many others.

focal_loss_keras

Multi-class classification with focal loss for imbalanced datasets

fraud-detection

Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook

fuzzy-match-company-name

demo using FuzzyWuzzy matching company names

fuzzy-match-strings-using-pandas

Fuzzy string matching between different files using Pandas and Fuzzywuzzy.

generative-ai-with-large-language-models-deeplearning.ai-aws

The course covers the entire lifecycle of LLM-based generative AI, from data collection and model selection to performance evaluation and deployment giving a comprehensive understanding of generative AI and how to apply it to real-world scenarios.