Descriptions
Machine Learning Scientist with Python, Master the essential Python skills to land a job as a machine learning scientist. With this track, you’ll gain a comprehensive introduction to machine learning in Python. You’ll augment your existing Python programming skill set with the tools needed to perform supervised, unsupervised, and deep learning. You’ll learn how to process data for features, train your models, assess performance, and tune parameters for better performance. This track also covers topics including tree-based machine learning models, cluster analysis, preprocessing for machine learning, and more. By the time you finish, you’ll have the confidence to use Python for machine learning, working with real data sets, linear classifiers, gradient boosting, and more. In the process, you’ll get an introduction to natural language processing, image processing, and popular Python machine learning packages such as scikit-learn, Spark, and Keras.
What you’ll learn
- Supervised Learning with scikit-learn
- Unsupervised Learning in Python
- Linear Classifiers in Python
- Machine Learning with Tree-Based Models in Python
- Extreme Gradient Boosting with XGBoost
- Dimensionality Reduction in Python
- Preprocessing for Machine Learning in Python
- Machine Learning for Time Series Data in Python
- Feature Engineering for Machine Learning in Python
- Model Validation in Python
- Introduction to Natural Language Processing in Python
- Feature Engineering for NLP in Python
- Introduction to TensorFlow in Python
- Introduction to Deep Learning with Keras
- Image Processing in Python
- Image Processing with Keras in Python
- Hyperparameter Tuning in Python
- Introduction to PySpark
- Machine Learning with PySpark
Specificatoin of Machine Learning Scientist with Python
- Publisher : Datacamp
- Teacher :
- Language: English
- Level : All Levels
- Lectures : 21
- Duration : 85 Hours to complete
Content of Machine Learning Scientist with Python
Pictures
Sample Clip
Installation Guide
Extract the files and watch with your favorite player
Subtitle : English
Quality: 720p
This Skill consist of 21 courses
The 2025/3 version has decreased the number of lessons by 2 compared to 2023/8.
Download Links
Downloadly
Cluster Analysis In Python
Dimensionality Reduction In Python
Extreme Gradient Boosting With Xgboost
Feature Engineering For Machine Learning In Python
Feature Engineering For Nlp In Python
Hyperparameter Tuning In Python
Image Processing In Python
Intermediate Deep Learning With Pytorch
Introduction To Deep Learning With Pytorch
Introduction To Natural Language Processing In Python
Introduction To Pyspark
Linear Classifiers In Python
Machine Learning For Time Series Data In Python
Machine Learning With Pyspark
Machine Learning With Tree Based Models In Python
Model Validation In Python
Natural Language Processing With Spacy
Preprocessing For Machine Learning In Python
Supervised Learning With Scikit Learn
Unsupervised Learning In Python
Winning A Kaggle Competition In Python
Rapidgator
Cluster Analysis In Python
Dimensionality Reduction In Python
Extreme Gradient Boosting With Xgboost
Feature Engineering For Machine Learning In Python
Feature Engineering For Nlp In Python
Hyperparameter Tuning In Python
Image Processing In Python
Intermediate Deep Learning With Pytorch
Introduction To Deep Learning With Pytorch
Introduction To Natural Language Processing In Python
Introduction To Pyspark
Linear Classifiers In Python
Machine Learning For Time Series Data In Python
Machine Learning With Pyspark
Machine Learning With Tree Based Models In Python
Model Validation In Python
Natural Language Processing With Spacy
Preprocessing For Machine Learning In Python
Supervised Learning With Scikit Learn
Unsupervised Learning In Python
Winning A Kaggle Competition In Python
Password file(s): www.downloadly.ir
File size
6.75 GB
10 Comments. Leave new
Is there any chance of adding the projects too?
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Not available
Please add rapidgator link
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Added
Hello, Update Please
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Updated
Please update with the latest projects available.
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Projects are not available
Introduction to PySpark is empty, Zero size.
kindly update it.
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it is 273kb and it is text based course and there are no videos.