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Data Interviews Decoded Blog

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.

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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

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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.

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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.

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Building-an-AI-Chatbot-with-Long-Short-Term-Memory

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

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Data-Cleaning-with-Python-Challenges-

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

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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

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Retail-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 Challenge

Natural-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!.

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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)

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Credit-Card-Fraud-Detection-Kaggle-Challenge

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

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Predicting-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.

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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

Data-Visualization-with-Python

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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 employees

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Disaster-Watcher-Crises-Alert-and-Monitoring-System

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Kaggle-Bike-Sharing-Demand-Competition

Forecast use of a city bike share system

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Aspect-Based-Sentiment-Analysis-Projects

Aspect-based Sentiment Analysis

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The-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 particular

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Pump-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/

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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.

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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

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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.

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Kaggle-The-Boston-Housing-Dataset

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

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Breast-Cancer-Wisconsin-Diagnostic-Data-Set-Challenge

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

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Snapshot-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.

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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.

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Feature-Engineering-with-Python

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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.

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Graduate-Admissions

Predicting admission from important parameters

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Deep-Learning-for-Natural-Language-Processing-

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

Detecting-Fake-News-

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

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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.

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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.ai

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Students-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.

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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.

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kennedykwangari/Data-Interviews-Decoded

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