Rachit Toshniwal

@UCXCKeboc1BZ2cR8j1rkUrwA - 4.2K subscribers

Hello, I'm Rachit Toshniwal, and I'm trying to make sure there aren't many entry barriers to data science... (errr... well, there are a few barriers beyond my control, like getting distracted by mobile notifications while studying, etc xD) Let me know if there is any way my content can be improved, or if you find my content unclear. I'm all ears for suggestions :) Thanks, and I hope you like my videos!

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Removing constant & Quasi constant features using Variance Threshold | Machine Learning

Removing constant & Quasi constant features using Variance Threshold | Machine Learning Rachit Toshniwal

3.3K views - 4 years ago

Principal Component Analysis (PCA) Intuition | Machine Learning

Principal Component Analysis (PCA) Intuition | Machine Learning Rachit Toshniwal

1.1K views - 5 years ago

Machine Learning Project | Credit Risk Analysis | Learning Curves | Overfitting | Python

Machine Learning Project | Credit Risk Analysis | Learning Curves | Overfitting | Python Rachit Toshniwal

24K views - 5 years ago

Machine Learning Project | Predicting Student Marks | Python

Machine Learning Project | Predicting Student Marks | Python Rachit Toshniwal

8.8K views - 5 years ago

How to tune hyper parameters using Grid Search CV | With and without a Pipeline | Machine Learning

How to tune hyper parameters using Grid Search CV | With and without a Pipeline | Machine Learning Rachit Toshniwal

5.1K views - 5 years ago

Churn Modeling Tableau Project for beginners

Churn Modeling Tableau Project for beginners Rachit Toshniwal

24K views - 5 years ago

How to create and use groups to clean data and create higher level dimensions | Tableau Series

How to create and use groups to clean data and create higher level dimensions | Tableau Series Rachit Toshniwal

124 views - 5 years ago

How to split different records having same values in a column in Tableau | Tableau Series

How to split different records having same values in a column in Tableau | Tableau Series Rachit Toshniwal

602 views - 5 years ago

How to systematically organize fields into folders | Tableau Series

How to systematically organize fields into folders | Tableau Series Rachit Toshniwal

153 views - 5 years ago

How to create hierarchies in Tableau | Tableau Series

How to create hierarchies in Tableau | Tableau Series Rachit Toshniwal

175 views - 5 years ago

Using the replace function in tableau to clean messy columns | Tableau Series

Using the replace function in tableau to clean messy columns | Tableau Series Rachit Toshniwal

4.5K views - 5 years ago

Using the split function in a calculated field to clean messy data | Tableau Series

Using the split function in a calculated field to clean messy data | Tableau Series Rachit Toshniwal

529 views - 5 years ago

Using auto and custom split in Tableau to split columns | Tableau Series

Using auto and custom split in Tableau to split columns | Tableau Series Rachit Toshniwal

414 views - 5 years ago

Editing the metadata in Tableau | Tableau Series

Editing the metadata in Tableau | Tableau Series Rachit Toshniwal

631 views - 5 years ago

Data types in Tableau | Numeric, String, Geographic, Boolean, Date, Date & Time | Tableau Series

Data types in Tableau | Numeric, String, Geographic, Boolean, Date, Date & Time | Tableau Series Rachit Toshniwal

376 views - 5 years ago

When to add a new connection vs a Data source in Tableau | Tableau Series

When to add a new connection vs a Data source in Tableau | Tableau Series Rachit Toshniwal

2K views - 5 years ago

Unions in Tableau | How to use a wildcard for unions in Tableau | Tableau Series

Unions in Tableau | How to use a wildcard for unions in Tableau | Tableau Series Rachit Toshniwal

1.2K views - 5 years ago

Blending multiple distinct data sources in Tableau | Tableau Series

Blending multiple distinct data sources in Tableau | Tableau Series Rachit Toshniwal

313 views - 5 years ago

Joins in Tableau | Inner, Outer, Left and Right Joins | Physical and Logical Layer | Tableau Series

Joins in Tableau | Inner, Outer, Left and Right Joins | Physical and Logical Layer | Tableau Series Rachit Toshniwal

1.6K views - 5 years ago

Relationships - The new Tableau data model | Understanding the Performance Options | Tableau Series

Relationships - The new Tableau data model | Understanding the Performance Options | Tableau Series Rachit Toshniwal

718 views - 5 years ago

Connecting to a data source in Tableau | Different types of connections | Tableau Series

Connecting to a data source in Tableau | Different types of connections | Tableau Series Rachit Toshniwal

421 views - 5 years ago

Downloading Tableau | Tableau Desktop or Tableau Public? Advantages and limitations | Tableau Series

Downloading Tableau | Tableau Desktop or Tableau Public? Advantages and limitations | Tableau Series Rachit Toshniwal

454 views - 5 years ago

(Code) Iterative Imputer | MICE Imputer in Python | Machine Learning

(Code) Iterative Imputer | MICE Imputer in Python | Machine Learning Rachit Toshniwal

15K views - 5 years ago

(Code) What is Winsorization | Using percentiles for capping outliers in Python | Machine Learning

(Code) What is Winsorization | Using percentiles for capping outliers in Python | Machine Learning Rachit Toshniwal

7K views - 5 years ago

(Code) Trimming outliers using the IQR method | Machine Learning

(Code) Trimming outliers using the IQR method | Machine Learning Rachit Toshniwal

2.4K views - 5 years ago

(Code) Capping outliers using the IQR method | Machine Learning

(Code) Capping outliers using the IQR method | Machine Learning Rachit Toshniwal

6.6K views - 5 years ago

Using IQR for handling outliers | Calculating Percentiles | Inner & Outer Fences | Machine Learning

Using IQR for handling outliers | Calculating Percentiles | Inner & Outer Fences | Machine Learning Rachit Toshniwal

667 views - 5 years ago

(Code) Trimming outliers using the Z-score method | Machine Learning

(Code) Trimming outliers using the Z-score method | Machine Learning Rachit Toshniwal

1.1K views - 5 years ago

(Code) Capping outliers using the Z-score method | Machine Learning

(Code) Capping outliers using the Z-score method | Machine Learning Rachit Toshniwal

1.9K views - 5 years ago

When to and when NOT to use Z-scores for handling outliers | Machine Learning

When to and when NOT to use Z-scores for handling outliers | Machine Learning Rachit Toshniwal

843 views - 5 years ago

What are Outliers | When are outliers NOT really outliers | Machine Learning

What are Outliers | When are outliers NOT really outliers | Machine Learning Rachit Toshniwal

1K views - 5 years ago

(Code) How to plot ROC and Precision-Recall curves from scratch in Python? | Machine Learning

(Code) How to plot ROC and Precision-Recall curves from scratch in Python? | Machine Learning Rachit Toshniwal

10K views - 5 years ago

(Code) How to code out Confusion Matrix Metrics in Python? | Machine Learning

(Code) How to code out Confusion Matrix Metrics in Python? | Machine Learning Rachit Toshniwal

18K views - 5 years ago

Precision-Recall Curves and AUPRC | Confusion Matrix Metrics Part 9 | Machine Learning

Precision-Recall Curves and AUPRC | Confusion Matrix Metrics Part 9 | Machine Learning Rachit Toshniwal

34K views - 5 years ago

ROC-AUC | Limitations of ROC Curves | Confusion Matrix Metrics Part 8 | Machine Learning

ROC-AUC | Limitations of ROC Curves | Confusion Matrix Metrics Part 8 | Machine Learning Rachit Toshniwal

2.1K views - 5 years ago

Matthew's Correlation Coefficient (MCC) | Confusion Matrix Metrics Part 7 | Machine Learning

Matthew's Correlation Coefficient (MCC) | Confusion Matrix Metrics Part 7 | Machine Learning Rachit Toshniwal

7.8K views - 5 years ago

Sensitivity, Specificity, Balanced Accuracy | Confusion Matrix Metrics Part 6 | Machine Learning

Sensitivity, Specificity, Balanced Accuracy | Confusion Matrix Metrics Part 6 | Machine Learning Rachit Toshniwal

5.9K views - 5 years ago

When (NOT) to use Precision, Recall, F-score | Confusion Matrix Metrics Part 5 | Machine Learning

When (NOT) to use Precision, Recall, F-score | Confusion Matrix Metrics Part 5 | Machine Learning Rachit Toshniwal

1K views - 5 years ago

F-beta score easily explained | Confusion Matrix Metrics Part 4 | Machine Learning

F-beta score easily explained | Confusion Matrix Metrics Part 4 | Machine Learning Rachit Toshniwal

2.7K views - 5 years ago

F1 score and its drawbacks easily explained | Confusion Matrix Metrics Part 3 | Machine Learning

F1 score and its drawbacks easily explained | Confusion Matrix Metrics Part 3 | Machine Learning Rachit Toshniwal

2.3K views - 5 years ago

Precision-Recall trade-off easily explained | Confusion Matrix Metrics Part 2 | Machine Learning

Precision-Recall trade-off easily explained | Confusion Matrix Metrics Part 2 | Machine Learning Rachit Toshniwal

6.5K views - 5 years ago

Accuracy, Precision, Recall easily explained | Confusion Matrix Metrics Part 1 | Machine Learning

Accuracy, Precision, Recall easily explained | Confusion Matrix Metrics Part 1 | Machine Learning Rachit Toshniwal

2.7K views - 5 years ago

Using train_test_split to split dataset | Stratification for imbalanced data | Machine Learning

Using train_test_split to split dataset | Stratification for imbalanced data | Machine Learning Rachit Toshniwal

8.1K views - 5 years ago

What is a Confusion Matrix | TP, TN, FP, FN | Type 1 & 2 Error | Easily explained | Machine Learning

What is a Confusion Matrix | TP, TN, FP, FN | Type 1 & 2 Error | Easily explained | Machine Learning Rachit Toshniwal

7.1K views - 5 years ago

Multivariate Imputation By Chained Equations (MICE) algorithm for missing values | Machine Learning

Multivariate Imputation By Chained Equations (MICE) algorithm for missing values | Machine Learning Rachit Toshniwal

37K views - 5 years ago

Using Column Transformer and Pipeline to handle data with missing values | Machine Learning

Using Column Transformer and Pipeline to handle data with missing values | Machine Learning Rachit Toshniwal

5.1K views - 5 years ago

(Code) K-Fold, Stratified, Leave One Out, Repeated K-Fold Cross Validation Python | Machine Learning

(Code) K-Fold, Stratified, Leave One Out, Repeated K-Fold Cross Validation Python | Machine Learning Rachit Toshniwal

11K views - 5 years ago

Introduction to Cross Validation | Different types of Cross Validation techniques | Machine Learning

Introduction to Cross Validation | Different types of Cross Validation techniques | Machine Learning Rachit Toshniwal

897 views - 5 years ago

Bias-Variance Trade-off | Overfitting and Underfitting | Easily explained!! | Machine Learning

Bias-Variance Trade-off | Overfitting and Underfitting | Easily explained!! | Machine Learning Rachit Toshniwal

919 views - 5 years ago

Using Pipeline for making Machine Learning workflow easy | Machine Learning

Using Pipeline for making Machine Learning workflow easy | Machine Learning Rachit Toshniwal

7.2K views - 5 years ago

Using Exponential and Log transformers for feature scaling | Machine Learning

Using Exponential and Log transformers for feature scaling | Machine Learning Rachit Toshniwal

1.8K views - 5 years ago

Using Normalizer for feature scaling | Machine Learning

Using Normalizer for feature scaling | Machine Learning Rachit Toshniwal

753 views - 5 years ago

(Part 1) Using Column Transformer for making Machine Learning workflow easy | Machine Learning

(Part 1) Using Column Transformer for making Machine Learning workflow easy | Machine Learning Rachit Toshniwal

6.5K views - 5 years ago

Using Quantile Transformer for transforming features into more Gaussian-like | Machine Learning

Using Quantile Transformer for transforming features into more Gaussian-like | Machine Learning Rachit Toshniwal

6.4K views - 5 years ago

Using Power Transformers (Box-Cox & Yeo-Johnson) to make features Gaussian-like | Machine Learning

Using Power Transformers (Box-Cox & Yeo-Johnson) to make features Gaussian-like | Machine Learning Rachit Toshniwal

12K views - 5 years ago

Using Max Abs Scaler for feature scaling | Machine Learning

Using Max Abs Scaler for feature scaling | Machine Learning Rachit Toshniwal

3K views - 5 years ago

Using Robust Scaler to scale features | Machine Learning

Using Robust Scaler to scale features | Machine Learning Rachit Toshniwal

8.6K views - 5 years ago

Using Min Max Scaler to scale features | Machine Learning

Using Min Max Scaler to scale features | Machine Learning Rachit Toshniwal

16K views - 5 years ago

Using Standard Scaler to scale features | Machine Learning

Using Standard Scaler to scale features | Machine Learning Rachit Toshniwal

11K views - 5 years ago

Introduction to Feature Scaling and various Scaling Techniques for scaling data | Machine Learning

Introduction to Feature Scaling and various Scaling Techniques for scaling data | Machine Learning Rachit Toshniwal

1.3K views - 5 years ago