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Data Scientist In Python\Step 5 - Probability and Statistics\2. Statistics Intermediate Averages and Variability\3. The Mode.py
9 1 -
A
Data Scientist In Python\Step 4 - Working with Data Sources\4. Data Analysis in Business\2. Communicating Results.py
9 1 -
A
Data Analyst in Python\Step 1 - Introduction to Python\2. Python for Data Science Intermediate\1. Cleaning and Preparing Data in Python.py
8 1 -
A
Data Scientist In Python\Step 6 - Machine Learning Introduction\5. Machine Learning in Python Intermediate\6. K-means clustering.py
8 1 -
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Data Scientist In Python\Step 1 - Python Introduction\2. Python for Data Science Intermediate\1. Cleaning and Preparing Data in Python.py
8 1 -
A
Data Scientist In Python\Step 8 - Advanced Topics in Data Science\4. Spark and Map-Reduce\3. Challenge Transforming Hamlet into a Data Set.py
7 1 -
A
Data Scientist In Python\Step 5 - Probability and Statistics\1. Statistics Fundamentals\3. Frequency Distributions.py
6 1 -
A
Data Analyst in Python\Step 5 - Probability and Statistics\1. Statistics Fundamentals\3. Frequency Distributions.py
6 1 -
A
Data Analyst in Python\Step 2 - Intermediate Python and Pandas\5. Data Cleaning in Python Advanced\4. Working with Missing Data.py
5 1 -
A
Data Analyst in Python\Step 2 - Intermediate Python and Pandas\6. Data Cleaning Project Walkthrough\4. Challenge Cleaning Data.py
5 1 -
A
Data Scientist In Python\Step 4 - Working with Data Sources\4. Data Analysis in Business\3. Business Metrics.py
5 1 -
A
Data Scientist In Python\Step 7 - Machine Learning Intermediate\3. Kaggle Fundamentals\2. Feature Preparation, Selection and Engineering.py
5 1 -
A
Data Scientist In Python\Step 6 - Machine Learning Introduction\6. Decision Trees\1. Introduction to Decision Trees.py
5 1 -
A
Data Scientist In Python\Step 7 - Machine Learning Intermediate\1. Deep Learning Fundamentals\1. Representing Neural Networks.py
5 1 -
A
Data Scientist In Python\Step 2 - Data Analysis and Visualization\6. Data Cleaning Project Walkthrough\4. Challenge Cleaning Data.py
5 1 -
A
Data Scientist In Python\Step 6 - Machine Learning Introduction\1. Machine Learning Fundamentals\2. Evaluating Model Performance.py
5 1 -
A
Data Scientist In Python\Step 2 - Data Analysis and Visualization\5. Data Cleaning in Python Advanced\4. Working with Missing Data.py
5 1 -
A
Data Analyst in Python\Step 4 - Working with Data Sources\4. Data Analysis in Business\3. Business Metrics.py
5 1 -
A
Data Scientist In Python\Step 5 - Probability and Statistics\2. Statistics Intermediate Averages and Variability\1. The Mean.py
4 1 -
A
Data Scientist In Python\Step 6 - Machine Learning Introduction\5. Machine Learning in Python Intermediate\4. Overfitting.py
4 1 -