master
Dataquest
Repository badge with A rating
View on GitHub
Grade
Name
Complexity
Churn
Issues
A
Data Scientist In Python\Step 5 - Probability and Statistics\3. Probability Fundamentals\1. Estimating Probabilities.py
2 1 -
A
Data Scientist In Python\Step 5 - Probability and Statistics\3. Probability Fundamentals\2. Probability Rules.py
 1 -
A
Data Scientist In Python\Step 5 - Probability and Statistics\3. Probability Fundamentals\3. Solving Complex Probability Problems.py
 1 -
A
Data Scientist In Python\Step 5 - Probability and Statistics\3. Probability Fundamentals\4. Permutations and Combinations.py
11 1 -
A
Data Scientist In Python\Step 5 - Probability and Statistics\4. Conditional Probability\1. Conditional Probability Fundamentals.py
 1 -
A
Data Scientist In Python\Step 5 - Probability and Statistics\4. Conditional Probability\2. Conditional Probability Intermediate.py
 1 -
A
Data Scientist In Python\Step 5 - Probability and Statistics\4. Conditional Probability\3. Bayes Theorem.py
 1 -
A
Data Scientist In Python\Step 5 - Probability and Statistics\4. Conditional Probability\4. The Naive Bayes Algorithm.py
 1 -
A
Data Scientist In Python\Step 5 - Probability and Statistics\5. Hypothesis Testing Fundamentals\1. Significance Testing.py
 1 -
A
Data Scientist In Python\Step 5 - Probability and Statistics\5. Hypothesis Testing Fundamentals\2. Chi-squared tests.py
 1 -
A
Data Scientist In Python\Step 5 - Probability and Statistics\5. Hypothesis Testing Fundamentals\3. Multi category chi-squared tests.py
 1 -
A
Data Scientist In Python\Step 6 - Machine Learning Introduction\1. Machine Learning Fundamentals\1. Introduction to K-Nearest Neighbors.py
2 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 6 - Machine Learning Introduction\1. Machine Learning Fundamentals\3. Multivariate K-Nearest Neighbors.py
 1 -
A
Data Scientist In Python\Step 6 - Machine Learning Introduction\1. Machine Learning Fundamentals\4. Hyperparameter Optimization.py
 1 -
A
Data Scientist In Python\Step 6 - Machine Learning Introduction\1. Machine Learning Fundamentals\5. Cross Validation.py
2 1 -
A
Data Scientist In Python\Step 6 - Machine Learning Introduction\2. Calculus For Machine Learning\1. Understanding Linear and Nonlinear Functions.py
4 1 -
A
Data Scientist In Python\Step 6 - Machine Learning Introduction\2. Calculus For Machine Learning\2. Understanding Limits.py
 1 -
A
Data Scientist In Python\Step 6 - Machine Learning Introduction\2. Calculus For Machine Learning\3. Finding Extreme Points.py
 1 -
A
Data Scientist In Python\Step 6 - Machine Learning Introduction\3. Linear Algebra For Machine Learning\1. Linear Systems.py
 1 -