17 OCT 2024 - Welcome Back to TorrentFunk! Get your pirate hat back out. Streaming is dying and torrents are the new trend. Account Registration works again and so do Torrent Uploads. We invite you all to start uploading torrents again!
Machine learning is not magic. The quality of the predictions coming out of your model is a direct reflection of the data you feed it during training. This course with instructor Matt Harrison guides you through the nuances of feature engineering techniques for numeric data so you can take a dataset, tease out the signal, and throw out the noise in order to optimize your machine learning model. Matt teaches you techniques like imputation, binning, log transformations, and scaling for numeric data. He covers methods for other types of data, like as one hot encoding, mean targeting coding, principal component analysis, feature aggregation, and text processing techniques like TFIDF and embeddings. The tools you learn in this course will generalize to nearly any kind of machine learning algorithm/problem, so join Matt in this course to learn how you can extract the maximum value from your data using feature engineering.
If You Need More Stuff, kindly Visit and Support Us -->> https://FreeCourseWeb.com
Get More Tutorials and Support Us -->> https://DevCourseWeb.com
We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...
VISITOR COMMENTS (0 )
FILE LIST
Filename
Size
~Get Your Files Here !/01 - Introduction/01 - Applied ML Feature engineering.mp4
4.2 MB
~Get Your Files Here !/01 - Introduction/01 - Applied ML Feature engineering.srt
1.5 KB
~Get Your Files Here !/01 - Introduction/02 - What you should know.mp4
5.3 MB
~Get Your Files Here !/01 - Introduction/02 - What you should know.srt
2.1 KB
~Get Your Files Here !/02 - 1. Basic Techniques/01 - Imputation.mp4
11.6 MB
~Get Your Files Here !/02 - 1. Basic Techniques/01 - Imputation.srt
8.1 KB
~Get Your Files Here !/02 - 1. Basic Techniques/02 - Filling in missing values.mp4
12.3 MB
~Get Your Files Here !/02 - 1. Basic Techniques/02 - Filling in missing values.srt
9.4 KB
~Get Your Files Here !/02 - 1. Basic Techniques/03 - Binning.mp4
13.9 MB
~Get Your Files Here !/02 - 1. Basic Techniques/03 - Binning.srt
10.8 KB
~Get Your Files Here !/02 - 1. Basic Techniques/04 - Log transform.mp4
13.6 MB
~Get Your Files Here !/02 - 1. Basic Techniques/04 - Log transform.srt
10.9 KB
~Get Your Files Here !/02 - 1. Basic Techniques/05 - Scaling.mp4
5.2 MB
~Get Your Files Here !/02 - 1. Basic Techniques/05 - Scaling.srt
3.8 KB
~Get Your Files Here !/02 - 1. Basic Techniques/06 - Challenge Basic techniques.mp4
2.9 MB
~Get Your Files Here !/02 - 1. Basic Techniques/06 - Challenge Basic techniques.srt
2.6 KB
~Get Your Files Here !/02 - 1. Basic Techniques/07 - Solution Basic techniques.mp4
11.5 MB
~Get Your Files Here !/02 - 1. Basic Techniques/07 - Solution Basic techniques.srt
9.6 KB
~Get Your Files Here !/03 - 2. Categorical Encoding/01 - One hot encoding.mp4
20.5 MB
~Get Your Files Here !/03 - 2. Categorical Encoding/01 - One hot encoding.srt
12 KB
~Get Your Files Here !/03 - 2. Categorical Encoding/02 - Hashing encoder.mp4
5.6 MB
~Get Your Files Here !/03 - 2. Categorical Encoding/02 - Hashing encoder.srt
4.6 KB
~Get Your Files Here !/03 - 2. Categorical Encoding/03 - Mean target encoding.mp4
7 MB
~Get Your Files Here !/03 - 2. Categorical Encoding/03 - Mean target encoding.srt
3.9 KB
~Get Your Files Here !/03 - 2. Categorical Encoding/04 - Challenge Categorical.mp4
775.5 KB
~Get Your Files Here !/03 - 2. Categorical Encoding/04 - Challenge Categorical.srt
716 B
~Get Your Files Here !/03 - 2. Categorical Encoding/05 - Solution Categorical.mp4
13.7 MB
~Get Your Files Here !/03 - 2. Categorical Encoding/05 - Solution Categorical.srt
8.4 KB
~Get Your Files Here !/04 - 3. Feature Extraction/01 - PCA.mp4
7 MB
~Get Your Files Here !/04 - 3. Feature Extraction/01 - PCA.srt
4.4 KB
~Get Your Files Here !/04 - 3. Feature Extraction/02 - Feature aggregation.mp4
5.7 MB
~Get Your Files Here !/04 - 3. Feature Extraction/02 - Feature aggregation.srt
3.4 KB
~Get Your Files Here !/04 - 3. Feature Extraction/03 - TFIDF.mp4
16.1 MB
~Get Your Files Here !/04 - 3. Feature Extraction/03 - TFIDF.srt
7.7 KB
~Get Your Files Here !/04 - 3. Feature Extraction/04 - Text embeddings.mp4
10.3 MB
~Get Your Files Here !/04 - 3. Feature Extraction/04 - Text embeddings.srt
6.3 KB
~Get Your Files Here !/04 - 3. Feature Extraction/05 - Challenge Feature extraction.mp4
499 KB
~Get Your Files Here !/04 - 3. Feature Extraction/05 - Challenge Feature extraction.srt
389 B
~Get Your Files Here !/04 - 3. Feature Extraction/06 - Solution Feature extraction.mp4
4.5 MB
~Get Your Files Here !/04 - 3. Feature Extraction/06 - Solution Feature extraction.srt
3 KB
~Get Your Files Here !/05 - 4. Temporal Features/01 - Extracting date components.mp4
2 MB
~Get Your Files Here !/05 - 4. Temporal Features/01 - Extracting date components.srt
1.4 KB
~Get Your Files Here !/05 - 4. Temporal Features/02 - Seasonality and trend decomposition.mp4
14.9 MB
~Get Your Files Here !/05 - 4. Temporal Features/02 - Seasonality and trend decomposition.srt
10 KB
~Get Your Files Here !/05 - 4. Temporal Features/03 - Challenge Temporal features.mp4
3.4 MB
~Get Your Files Here !/05 - 4. Temporal Features/03 - Challenge Temporal features.srt
2.5 KB
~Get Your Files Here !/05 - 4. Temporal Features/04 - Solution Temporal features.mp4
21.3 MB
~Get Your Files Here !/05 - 4. Temporal Features/04 - Solution Temporal features.srt
12.3 KB
~Get Your Files Here !/06 - 5. Feature Evaluation/01 - Importance and weights.mp4
19.9 MB
~Get Your Files Here !/06 - 5. Feature Evaluation/01 - Importance and weights.srt
14.1 KB
~Get Your Files Here !/06 - 5. Feature Evaluation/02 - Recursive feature elimination.mp4
6 MB
~Get Your Files Here !/06 - 5. Feature Evaluation/02 - Recursive feature elimination.srt
3.8 KB
~Get Your Files Here !/06 - 5. Feature Evaluation/03 - Adding a random column.mp4
3.3 MB
~Get Your Files Here !/06 - 5. Feature Evaluation/03 - Adding a random column.srt
2.5 KB
~Get Your Files Here !/06 - 5. Feature Evaluation/04 - Challenge Feature selection.mp4
602 KB
~Get Your Files Here !/06 - 5. Feature Evaluation/04 - Challenge Feature selection.srt
482 B
~Get Your Files Here !/06 - 5. Feature Evaluation/05 - Solution Feature selection.mp4
9.9 MB
~Get Your Files Here !/06 - 5. Feature Evaluation/05 - Solution Feature selection.srt
4.6 KB
~Get Your Files Here !/07 - Conclusion/01 - Next steps.mp4
1.2 MB
~Get Your Files Here !/07 - Conclusion/01 - Next steps.srt
![[ CourseWikia.com ] Applied Machine Learning - Feature Engineering (2024)](https://f.t0r.site/cover/48307409.webp)
