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Time-Series-Analysis-and-Forecasting-with-Python
The aim of the project is to provide a reference container guide of the numerous broad topics in the field of Time Series Analysis.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 dataCohort-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.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.Building-an-AI-Chatbot-with-Long-Short-Term-Memory
Building a Friendly-robotic personal assistant Chatbot with Long Short Term MemoryData-Cleaning-with-Python-Challenges-
5 hands-on exercises dealing with real, messy data to answer most of the commonly asked data cleaning questions.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/loandataRetail-Price-Recommendation-with-Python
Tasked to automatically suggest a product price to online sellers based on information a user provides for the product listing: The Mercari Price Suggestion ChallengeNatural-Language-Processing-with-Python
This repository contains data sets and code snippets on how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python!.Credit-Card-Fraud-Detection-Kaggle-Challenge
Anonymized credit card transactions labeled as fraudulent or genuine: https://www.kaggle.com/mlg-ulb/creditcardfraudPredicting-Future-Bank-Loans-Status-Classification
Using loans data from banks / financial institutions to train a classifier that predicts if the loaned will pay the loan or not.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-riskData-Visualization-with-Python
Product-Recommendation-Engine-for-New-Products
Tasked to build a Recommendation Engine that suggests new products to increase sales and dictate trends.IBM-HR-Analytics-Employee-Attrition-Performance
Predict attrition of your valuable employeesDisaster-Watcher-Crises-Alert-and-Monitoring-System
Kaggle-Bike-Sharing-Demand-Competition
Forecast use of a city bike share systemAspect-Based-Sentiment-Analysis-Projects
Aspect-based Sentiment AnalysisThe-Big-4-Agenda-Twitter-Sentiment-Analysis
Using Twitter Data to gauge Kenyan's attitude and sentiments towards the President's Big Four Agenda in General and their individual pillars in particularPump-it-Up-Data-Mining-the-Water-Table-Tanzania-Well-Water-Project
Using data from Taarifa and the Tanzanian Ministry of Water, can you predict which pumps are functional, which need some repairs, and which don't work at all? https://www.drivendata.org/competitions/7/pump-it-up-data-mining-the-water-table/Predictive-Banking-Marketing-Campaign-Analysis
This is the classic bank marketing dataset uploaded in the UCI Machine Learning Repository: https://archive.ics.uci.edu/ml/datasets/bank+marketing and gives you information about a marketing campaign of a financial institution. You are required to analyze the dataset and find ways to look for strategies to improve future marketing campaigns and intelligent targeting for the bank.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 amountsAutomated-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.Kaggle-The-Boston-Housing-Dataset
Comparing the Ridge Linear Regression, Decision Tree and Gradient Boosting Models Performance on the Boston Housing DatasetBreast-Cancer-Wisconsin-Diagnostic-Data-Set-Challenge
Predict whether the cancer is benign or malignant. https://www.kaggle.com/uciml/breast-cancer-wisconsin-dataSnapshot-Serengeti-Indaba-DL-2019-Hackathon
We were tasked to build a state-of the art deep learning model that seeks to inform, support and accelerate Wildlife Conservation and Ecological Research in the Serengeti National Park in Tanzania.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.Feature-Engineering-with-Python
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.Graduate-Admissions
Predicting admission from important parametersData-Interviews-Decoded
Data Interviews Decoded BlogDeep-Learning-for-Natural-Language-Processing-
This repository contains Deep Learning Projects worked on: Tensorflow and Keras Deep Learning Projects ImplementationsDetecting-Fake-News-
Building algorithms that detect fake news using collected data from different articlesFinancial-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.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.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.aiStudents-Perfomance-in-Exams-Exploratory-Data-Analysis
Exploratory Data Analysis on the Students Performance in Examinations for Marks secured by students in High School in various subjects from the United States of America. The aim is to understand the influence of various factors like economic, personal and social on the students performance and deriving Inferences.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.Love Open Source and this site? Check out how you can help us