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All-in-One:Machine Learning,DL,NLP,AWS Deply [Hindi][Python]
by Rishi Bansal- 0.0
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17.5 hours on-demand video
Complete hands-on Machine Learning Course with Data Science, NLP, Deep Learning and Artificial Intelligence - Installing Anaconda, how to use Spyder and Jupiter Notebook Chapter - Supervised Learning: Regression - Simple Linear Regression - Multiple Linear Regression - Regression Model Performance - R-Square - Polynomial Linear Regression - Lasso and Ridge Regression...
$12.99
Meaningful Predictive Modeling
by Julian McAuley , Ilkay Altintas- 4.4
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Approx. 9 hours to complete
By the end of this course you will be familiar with diagnostic techniques that allow you to evaluate and compare classifiers, as well as performance measures that can be used in different regression and classification scenarios. Regression Diagnostics: MSE and R² Classification Diagnostics: Accuracy and Error Classification Diagnostics: Precision and Recall...
Data Science: Machine Learning and Predictions
by Ani Adhikari , John DeNero , David Wagner- 0.0
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6 Weeks
Learn how to use machine learning, with a focus on regression and classification, to automatically identify patterns in your data and make better predictions. For classification, you will learn the k-nearest neighbor classification algorithm, learn how to measure the effectiveness of your classifier, and apply it to real-world tasks including medical diagnoses and predicting genres of movies....
$199
Machine Learning & Data Science Masterclass in Python and R
by Denis Panjuta- 4.1
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17 hours on-demand video
Regression, Classification and much more After the course you can apply Machine Learning to your own data and make informed decisions: You know when which models might come into question and how to compare them. You can analyze which columns are needed, whether additional data is needed, and know which data needs to be prepared in advance....
$11.99
Machine Learning A-Z™: Hands-On Python & R In Data Science
by Kirill Eremenko- 4.5
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44 hours on-demand video
Learn to create Machine Learning Algorithms in Python and R from two Data Science experts. Part 2 - Regression: Simple Linear Regression, Multiple Linear Regression, Polynomial Regression, SVR, Decision Tree Regression, Random Forest Regression Part 3 - Classification: Logistic Regression, K-NN, SVM, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification TOP GRADIENT BOOSTING MODELS INCLUDING XGBOOST AND EVEN CATBOOST!...
$17.99
Machine Learning and AI: Support Vector Machines in Python
by Lazy Programmer Inc.- 4.6
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9 hours on-demand video
Artificial Intelligence and Data Science Algorithms in Python for Classification and Regression Support Vector Machines (SVM) are one of the most powerful machine learning models around, and this topic has been one that students have requested ever since I started making courses. Polynomial Kernels, Gaussian Kernels, Sigmoid Kernels, and String Kernels...
$16.99
Deep Neural Networks with PyTorch
by Joseph Santarcangelo- 4.4
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Approx. 31 hours to complete
The course will start with Pytorch's tensors and Automatic differentiation package. Tensor and Datasets Linear Regression 1 Linear Regression Prediction PyTorch Linear Regression Training Slope and Bias PyTorch Linear Regression Training Slope and Bias Logistic Regression for Classification 2 Activation Functions and Max Polling Multiple Input and Output Channels Activation Functions and Max Pooling...
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Machine Learning with Java and Weka
by SVBook Pte. Ltd.- 3.4
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2.5 hours on-demand video
Machine Learning and Statistical Learning with Java This is the bite size course to learn Java Programming for Machine Learning and Statistical Learning with Weka library. Split Training and Testing dataset LInear Regression using Weka and Java LInear Regression using Weka and Java 2 LInear Regression using Weka and Java 3...
$12.99
Data analyzing and Machine Learning Hands-on with KNIME
by Barbora Stetinova, MBA- 0.0
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4.5 hours on-demand video
MACHINE LEARNING - REGRESSION AND CLASSIFICATION: We will create machine learning models in standard machine learning process way, which consists in: pre-processing and transforming data to get well prepared data frame for the prediction Simple and Multiple linear Regression Machine Learning in codeless KNIME Analytics Platform from A to Z – Classification and Regression...
$13.99
Introduction to Computer Vision and Image Processing
by Aije Egwaikhide , Joseph Santarcangelo- 4.5
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Approx. 21 hours to complete
Computer Vision is one of the most exciting fields in Machine Learning and AI. As part of this course, you will utilize Python, Pillow, and OpenCV for basic image processing and perform image classification and object detection. Graded Quiz: Overview of Computer Vision and its Applications SoftMax and Multi-Class Classification Neural Networks and Deep Learning for Image Classification...
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