Python for Machine Learning and APIs (Course 2)

Convert a Business Problem to a Python Machine Learning API Solution.

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The Ultimate Python Course For Building Production-Ready Business Solutions

Sink your teeth into a full Python Machine Learning and API's project that solves a major marketing analytics problem for companies.


Here are some of the highlights of the course:

  • Avoid the mistake which causes 87% of data science projects fail.
  • Simulate the cost of the problem under different scenarios.
  • Discover how to provide a range for how much the problem is costing the organization.
  • How to connect tables to a sql database.
  • Create a full blown exploratory report in 1 line of code.
  • Discover how to gain insights to determine what increases the probability of customers making purchases.
  • Learn how to make special engineered features to help you clean, sort, and manage data.
  • Learn how to create association analysis reports to help your company discover new customer insights.
  • Discover the one key feature I use to determine a 2900% increase in purchase.
  • Use Pycaret to access 19 model algorithms including XGBoost, LightGBM and Catboost. (and then use Machine Learning with ALL 19 models.)
  • Discover how to tune models to stabilize predictions and increase performance.
  • Use my overlooked technique to select the right model for your analysis (And another method to find the most important features of your model.)
  • Find out WHY a model is predicting a customer to buy.
  • How to lead score customers based on probability of buying.
  • Discover how to create SciKit Learn Pipelines from scratch (plus how to tune them manually using GridSearch)
  • I have created a secret python code to make 100s of machine learning models in minutes (on top of that, I’ll also show you how to find the most accurate one.)
  • Learn how to log advanced models like H2O (and access the AutoML leader model).
  • How I created a monthly increase of $237,266 in new sales a month for a single company.
  • I show you the A-Z process for creating a stand alone app which allows ANYONE to use the algorithm you’ve created.

Empower non-techie people download their own Lead Scoring StrategiesBuild 100's of machine learning models in under 1 minute with this technique.

Here Are Some Screenshots From Within The Course

Avoid the mistake 90% of Data Science Teams Make


Perform Exploratory Data Analysis at the speed of light


Gain insights fast (and get quick wins for your company)

Increase your Classifier AUC 15% with these Feature Engineering Tips

Enhance your Feature Engineering Skills to uncover more insights!

Use this hack to make 19 Scikit Learn Models in under 1 minute.

Automatically sort the models by performance with only 1 line of code.

Tune your models in 1 line of code.

Discover the most important features without introducing correlation bias.

Uncover why a customer is likely to buy.

Use this trick to build scikit-learn pipelines faster


Build 100's of machine learning models in under 1 minute with this technique.

Pick the best model with this time-tested trick.

Uncover a super-power: logging in MLFlow!

Use H2O & MLFlow to build the ultimate Production-Ready Machine Learning Models.


Wow your company by sharing how your algorithm makes them $311,105 in sales every month.

Store your leader H2O Models in MLFlow and track the Machine Learning Lifecycle.

Make an App that lets your company's "non-techie" people access your business solution automatically. (And instantly become a leader in your organization)


Unlock the ultimate production tool: APIs

Make $3,600,000 in one year with your model! (and you'll likely get a promotion)

Empower non-techie people to download their own Lead Scoring Strategies


Secure your API (without involving the IT Department)

Build robust APIs in under 5 minutes

Show you're a team player by incorporating your management's input into your analysis and making a "Balanced Plan"

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Your Instructor


Matt Dancho
Matt Dancho

Founder of Business Science and general business & finance guru, He has worked with many clients from Fortune 500 to high-octane startups! Matt loves educating data scientists on how to apply powerful tools within their organization to yield ROI. Matt doesn't rest until he gets results (literally, he doesn't sleep so don't be suprised if he responds to your email at 4AM)!


Course Curriculum


  Module 0: Jumpstart with ML & APIs
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  βœ… Code Checkpoint: Module 0 - Jumpstart
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  βœ… Code Checkpoint: Module 1 - Business Understanding
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  Module 2 - Data Understanding & KPIs
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  βœ… Code Checkpoint: Module 2 - Data Understanding & KPIs
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  🍬 3.3 Sweetviz Report (Round 2) - Analyzing Engineered Features
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  βœ… Code Checkpoint: Module 3 - Data Processing Pipelines
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  Module 4 - Machine Learning with Pycaret (Deep Dive)
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  4.4 Plotting the Model Performance (Model Selection)
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  4.5 Individual Models: Making and Hyperparameter Tuning
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  βœ… Code Checkpoint: Module 4 - Machine Learning with Pycaret
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  Module 5: Advanced Machine Learning with Scikit Learn & H2O
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  βœ… Code Checkpoint - Module 5: Advanced Machine Learning
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  βœ… Code Checkpoint - Module 6: MLFlow
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  7.2 Threshold Optimization & Profit Maximization
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  7.3 Creating Lead Strategy Automation Functions (for Email Lead Scoring Module)
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  βœ… Code Checkpoint - Module 7: ROI
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  πŸ’¨ Module 8: FastAPI (Deep-Dive)
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  βœ… Code Checkpoint - Module 8: FastAPI
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  βœ… Code Checkpoint - Module 9: Streamlit App
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  πŸŽ‰ Congratulations! You Did It! Get Your Course Certificate!
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Frequently Asked Questions


When does the course start and finish?
The course starts now and never ends! It is a completely self-paced online course - you decide when you start and when you finish.
How long do I have access to the course?
How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like - across any and all devices you own.
What if I am unhappy with the course?
We would never want you to be unhappy! If you are unsatisfied with your purchase, contact us in the first 30 days and we will give you a full refund.

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