Python Business Analytics

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A series looking at implementing python solutions to solve practical business problems. Every week we will look at hand picked businenss solutions. See the following google drive for all the code and github for all the data. If you follow the LinkedIn page, you would be able to see the lastest developments.

All projects are of intermediate to advanced difficulty and the projects are not presented in any particular order; nothing stops you from starting at week six for example.

Week 1/52: Bike Share Business Case - Google Colab

Outlier Analysis, Model Selection, Missing Values, Descriptive Statistics

Week 2/52: Reuters Author NLP - Google Colab

Process Text, pyLDAvis, Word Embeddings, Text Evaluation, fuzzywuzzy

Week 3/52: Customer Lifetime Value - Google Colab

RFM Analysis, Pareto Model, NDB Model, Gamma-Gamma Model, CLV Model, Constraint Programming

Week 4/52: Customer Segmentation - Google Colab

Radar, Silhouette, PCA, Grouping, Invoices, Inventory, Datatable, Basket,

Week 5/52: Customer Visits - Google Colab

Week, EDA, Simulated, Prediction, Dummy Variable

Week 6/52: Demand Forecasting - Google Colab

Neural Network, Sales, Relu, LSTM, CNN, Evaluation

Week 7/52: AirBnB Sydney Rent Evaluation - Google Colab

Full Pipeline, Random Forest, Visualisation, Grid Search, Confidence Interval

Week 8/52: Portfolio Optimisation - Google Colab

Efficient Frontier, Stocks, Modern Portfolio Theory, Pivot, Simulations, Minimum Volatility, Sharpe Ratio

Week 9/52: Economic Analysis - Google Colab

GDP, Life Satisfaction, Linear Regression Plots, Prediction Model

Week 10/52: Loan Classification - Google Colab

Default, Credit Scores, Visualisations, Data Cleaning, ROC Curves, Multi-class Classification

Week 11/52: Venture Capital - Google Colab

Capital Allocation, Decision Trees, Acquisitions, Investment

Week 12/52: Bankruptcy Prediction - Google Colab

Voting Classifiers, Bagging Ensembles, SMOTE, XGBoost, Cross-validation

Week 13/52: HR Analytics - Google Colab

OSEMN, Bagging Ensembles, AUC, Model Comparison, ROC Graph, Feature Importance Graph