Machine Learning Fundamentals
Machine Learning Fundamentals is an exciting journey into Machine Learning in the world of finance. Navigate through several new useful libraries and Machine Learning techniques and then work to build two algorithms that have been used to advise Fortune 500 companies including McDonalds, Tiffanys, Gap, and more.
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4.5
Hours
6
Topics
10
Practical Exercises
Machine Learning Fundamentals includes
- The ML Process
- Matplotlib and Seaborn
- A Few Quick Notes
- 5 countplot()
- Replace & Sparse Classes
- Spotting Outlier
- NaN Object
Dropping Null Values - Box Plots
- Saving Your Dataframe
- What are Regression Algorithms
- Real Relationships and Overfitting
- Regularizations
Decision Tree Ensemble Methods - Metadata
- Splitting Your Data
- Train_test_split()
- Unpacking Lists
- Progress Checkpoint
- Model Pipelines
- Progress Checkpoint
- Hyperparameter
- Tuning
- Aggregating Hyperparameter Grids
- Progress Checkpoints
- Cross Validation
- Creating Untrained Models
- Training and Tuning Models
- Model Evaluation
- Progress Checkpoint
- Visualizing Model Predictions
- Using Your Model
- Binary Classification
- Logistic Regression
- Decision Tree Classifiers
- Solution
- Metadata
- One Error
- Countplot of
- Investors
- Exploring Relationships
- Reviewing Your
- Results
- Feature Engineering
- Reviewing Tier Change
- Controlling for Demotions
- Analyzing Goldman Sachs
- Implot()
- Import Packages and Data
- Dummy Variables
- Remove Redundant Target
- Splitting Data
- Model Pipeline
- Validating Pipelines
- Hyperparameters
- Validating Hyperparameter Grids
- Cross Validation
- Fitting Untrainer Models
- AUROC
- Confusion Matrix
- Perfect AUROC
- Calculating AUROC
Machine Learning Fundamentals
| skills-certificate
Machine Learning Fundamentals
4.5
hours
10
Practical exercises
1
Exam
Python Fundamentals provides you with the foundational skills you will need to be able to apply Python in the world of finance. Build on your excel skills to develop core competency efficiently and prepare for the real deal, applied machine learning in the world of finance.
Data Cleaning & Exploration
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3 excel exercises
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Excel Exercises 3
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Investor Classifier in Python Part 1
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2 excel exercises
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Excel Exercises 2
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24 video minutes
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Excel Exercises 2
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