All current Support Vector Machine (SVM) Courses courses in 2024
9 Courses
Natural Language Processing: NLP In Python with 2 Projects
Unlock the power of language with our comprehensive Natural Language Processing: NLP In Python with 2 Projects course, brought to you by Udemy. Dive deep into the fascinating world of NLP and gain hands-on experience with cutting-edge machine learning algorithms. This course is designed to equip you with the skills needed for effective text process.
Udemy
Paid Course
2 hours 57 minutes
On-Demand
Complete Machine Learning with R Studio - ML for 2024
Title: Complete Machine Learning with R Studio - ML for 2024
Description: Master machine learning using R Studio with our comprehensive course. Dive into key ML methods including Linear and Logistic Regression, Decision Trees, XGBoost, SVM, and various other ML models. Perfect for those proficient in the R programming language, this course offers a.
Udemy
Paid Course
12 hours
On-Demand
Machine Learning & Deep Learning in Python & R
Machine Learning & Deep Learning in Python & R
Delve into the realms of Machine Learning and Deep Learning with this comprehensive course provided by Udemy. Master essential techniques such as Regression, Decision Trees, Support Vector Machines (SVM), Neural Networks, Convolutional Neural Networks (CNN), and Time Series Forecasting using both Pytho.
Udemy
Paid Course
1 day 9 hours 12 minutes
On-Demand
Machine Learning and AI: Support Vector Machines in Python
Title: Machine Learning and AI: Support Vector Machines in Python
Description: Dive deep into Artificial Intelligence and Data Science with our comprehensive course on Python. Learn essential algorithms for Classification and Regression using Support Vector Machines. Enroll now and enhance your skills in Python, Machine Learning, and SVM techniques.
Udemy
Paid Course
8 hours 58 minutes
On-Demand
5 Machine Learning Projects from Dataisgood / Great Reviews
Title: 5 Machine Learning Projects from Dataisgood with Excellent Reviews
Description: Enroll in the Complete Machine Learning Bootcamp with Python offered by Udemy and build five comprehensive real-world Machine Learning projects. This course is designed to give you hands-on experience and equip you with the skills needed to apply Machine Learning.
Udemy
Paid Course
1 day 2 hours 13 minutes
On-Demand
Machine Learning using Python
Discover the power of Machine Learning using Python with this comprehensive course on Udemy. Dive into essential ML models including Linear and Logistic Regression, Decision Trees, XGBoost, and Support Vector Machines (SVM). Perfect for beginners and seasoned programmers alike, these lessons cover both theory and practical applications. Enroll toda.
Udemy
Paid Course
18 hours 49 minutes
On-Demand
2024 Python for Machine Learning: A Step-by-Step Guide
Title: 2024 Python for Machine Learning: A Step-by-Step Guide
Description: Dive into Data Science Projects using Python and explore key techniques such as Linear Regression, Logistic Regression, Random Forest, SVM, KNN, KMeans, XGBoost, and PCA. Master both supervised and unsupervised learning methods in this comprehensive course.
Provider: Udemy
U.
Udemy
Paid Course
1 day 8 hours 5 minutes
On-Demand
Utilisez des modèles supervisés non linéaires
Dans le cours Entraînez un modèle prédictif linéaire, vous avez appris à construire des modèles linéaires de classification binaire ou multi-classe et de régression.
Mais ceux-ci peuvent ne pas être adaptés à la nature de vos données. Dans ce cours, vous apprendrez à entraîner des modèles supervisés non-linéaires sur vos données.
Vous comprendre.
OpenClassrooms
Free Online Course
12 hours
On-Demand
2025 Machine Learning & Data Science for Beginners in Python
Welcome to the 2025 Machine Learning & Data Science for Beginners in Python course, brought to you by Udemy. Perfect for those eager to embark on their data science journey, this course covers a variety of essential projects. You will gain hands-on experience with techniques such as Linear Regression, Logistic Regression, Random Forest, Support.
