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-facebook-friend-recommendation-using-graph-mining

In this challenge we have given a directed social graph, and we have to predict missing links to recommend users (Link Prediction in graph)

analytics-vidhya-black-friday-hackathon-challenge

This dataset comprises of sales transactions captured at a retail store. We should predict How much will a customer spend?. The purchase amounts

aspect-based-sentiment-analysis-projects

Aspect-based Sentiment Analysis

automated-machine-learning-using-h2o-automl

A quick walkthrough an Automl framework called H2O AutoML and provides easy way to run multiple models and help pick the top ones along with its hyperparameter. It also gives an model deployment code that is easy to be productionized.

breast-cancer-wisconsin-diagnostic-data-set-challenge

Predict whether the cancer is benign or malignant. https://www.kaggle.com/uciml/breast-cancer-wisconsin-data

building-a-neural-network-model-from-scratch

Building a simple Neural Network Model from Scratch with one output layer using Sigmoid function to predict if a student will be admitted to a graduate program using the graduate admission data.

building-an-ai-chatbot-with-long-short-term-memory

Building a Friendly-robotic personal assistant Chatbot with Long Short Term Memory

cohort-analysis-and-customer-segmentation-with-python

We are tasked to Perform Cohort and Recency Frequency and Monetary Value Analysis to understand the value derived from different customer segments. Further, we will divide customers in different cluster traits based on the analysis by using Unsupervised Learning Techniques.

credit-card-fraud-detection-kaggle-challenge

Anonymized credit card transactions labeled as fraudulent or genuine: https://www.kaggle.com/mlg-ulb/creditcardfraud

data-analysis-with-python

Code Snippets for Data Preprocessing, Missing Values Treatment, Outlier Detection and Treatment, Exploratory Data Analysis, Data Visualization and Feature Engineering using featuretools.

data-cleaning-with-python-challenges-

5 hands-on exercises dealing with real, messy data to answer most of the commonly asked data cleaning questions.

data-visualization-with-python

deep-learning-for-natural-language-processing-

This repository contains Deep Learning Projects worked on: Tensorflow and Keras Deep Learning Projects Implementations

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

detecting-fake-news-

Building algorithms that detect fake news using collected data from different articles

disaster-watcher-crises-alert-and-monitoring-system

end-to-end-nlp-sms-spam-collection

Developing an NLP Model in Python and Deploying it on Flask that classifies the message as "spam" or "ham.

feature-engineering-with-python

financial-inclusion-in-africa

Financial Inclusion remains one of the main obstacles to economic and human development in Africa. For example, across Kenya, Rwanda, Tanzania, and Uganda only 9.1 million adults (or 13.9% of the adult population) have access to or use a commercial bank account.

graduate-admissions

Predicting admission from important parameters

home-credit-default-risk-kaggle-challenge

Can you predict how capable each applicant is of repaying a loan? https://www.kaggle.com/c/home-credit-default-risk

ibm-hr-analytics-employee-attrition-performance

Predict attrition of your valuable employees

interpretable-machine-learning-

Extracting human-understandable insights from any machine learning model. Exploring various MLI (Machine Learning Interpretability) techniques that help us debug, decode, get good accuracy and explainable. Interpreting your Machine Learning Model : Why and How.

kaggle-bike-sharing-demand-competition

Forecast use of a city bike share system

kaggle-competition-predict-future-sales-how-to-win-a-data-science-competition-coursera

This challenge serves as the final project for the "How to Win a Data Science Competition: Learn from Top Kagglers " Course from Coursera: https://www.coursera.org/learn/competitive-data-science. This is a time-series challenge consisting of daily sales data where we are tasked to predict total sales for every product and store in the next month.

kaggle-predicting-loan-repayment-classification-with-python

This dataset includes customers who have paid off their loans or not: This competition was hosted at Kaggle on https://www.kaggle.com/zhijinzhai/loandata

kaggle-the-boston-housing-dataset

Comparing the Ridge Linear Regression, Decision Tree and Gradient Boosting Models Performance on the Boston Housing Dataset

kennedykwangari

kennedykwangari.github.io

mall-customer-segmentation-data

Leveraging on Unsupervised Learning Techniques (K-Means and Hierarchical Clustering Implementation) to Perform Market Basket Analysis: Implementing Customer Segmentation Concepts to score a customer based on their behaviors and purchasing data