Search result for Scikit-learn Online Courses & Certifications
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AI Academy #3: Learn Artificial Neural Networks from A-Z
by Sobhan N.- 3.9
4.5 hours on-demand video
Learn different types of Neural Networks like Multi layer Perceptron, Recurrent Networks and LSTMs. In this Course you learn multilayer perceptron (MLP) neural network by using Scikit learn & Keras libraries and Python. You learn how to classify datasets by MLP Classifier to find the correct classes for them....
$12.99
AWS SageMaker Practical for Beginners | Build 6 Projects
by Dr. Ryan Ahmed, Ph.D., MBA- 4.6
14.5 hours on-demand video
Master AWS SageMaker Algorithms (Linear Learner, XGBoost, PCA, Image Classification) & Learn SageMaker Studio & AutoML In this course, students will learn how to create AI/ML models using AWS SageMaker. Data engineering: Data types, key python libraries (pandas, Numpy, scikit Learn, MatplotLib, and Seaborn), data distributions and feature engineering (imputation, binning, encoding, and normalization)....
$12.99
Data Science, Analytics & AI for Business & the Real World™
by Rajeev D. Ratan- 4.5
30 hours on-demand video
Use Data Science & Statistics To Solve Business Problems & Gain Insights Into Everyday Problems With 35+ Case Studies Data Science, Analytics & AI for Business & the Real World™ 2020 This is a practical course, the course I wish I had when I first started learning Data Science. Our Complete 2020 Data Science Learning path includes:...
$9.99
Python: A-Z Artificial Intelligence with Python: 5-in-1
by Packt Publishing- 3.9
8.5 hours on-demand video
Build learning agents that can learn from interacting with the environment. You will also learn about text processing techniques and practice with bag-of-words and word2vec models. You can learn more about him on his personal website....
$11.99
Fundamentals of Machine Learning in Finance
by Igor Halperin- 3.8
Approx. 18 hours to complete
Current full-time students pursuing a degree in Finance, Statistics, Computer Science, Mathematics, Physics, Engineering or other related disciplines who want to learn about practical applications of ML in Finance...
The Complete Python Course for Machine Learning Engineers
by Mike West- 3.4
1.5 hours on-demand video
In this course we are going to learn Python using a lab integrated approach. You'll learn how to install Python all the way through building a simple deep learning model using the skills you've learned. As you learn Python you'll be completing labs that will build on what you've learned in the previous lesson so please don't skip any....
$12.99
Python & Machine Learning for Financial Analysis
by Dr. Ryan Ahmed, Ph.D., MBA- 4.5
23 hours on-demand video
Are you ready to learn python programming fundamentals and directly apply them to solve real world applications in Finance and Banking? Jobs: high demand and low supply of python developers make it the ideal programming language to learn now. There are several mini challenges and exercises throughout the course and you will learn by doing....
$17.99
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Machine Learning for Accounting with Python
by Linden Lu- 0.0
Approx. 63 hours to complete
This course, Machine Learning for Accounting with Python, introduces machine learning algorithms (models) and their applications in accounting problems. It covers classification, regression, clustering, text analysis, time series analysis. It also discusses model evaluation and model optimization. Accounting Data Analytics with Python is a prerequisite for this course. INTRODUCTION TO THE COURSE...
Data Processing Using Python
by ZHANG Li- 4.2
Approx. 29 hours to complete
Welcome to learn Data Processing Using Python! 7 Learn More about NLTK...
Machine Learning Algorithms: Supervised Learning Tip to Tail
by Anna Koop- 4.7
Approx. 9 hours to complete
This course takes you from understanding the fundamentals of a machine learning project. Learners will understand and implement supervised learning techniques on real case studies to analyze business case scenarios where decision trees, k-nearest neighbours and support vector machines are optimally used. To be successful, you should have at least beginner-level background in Python programming (e....