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166 lessons

📐 ML Fundamentals

Neural networks, backpropagation, gradient descent — the maths behind AI

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Python Tutorial: Understanding sequential models
ML Fundamentals
Python Tutorial: Understanding sequential models
DataCamp Beginner 6y ago
Python Tutorial: Introduction to machine translation
ML Fundamentals
Python Tutorial: Introduction to machine translation
DataCamp Beginner 6y ago
R Tutorial : Matrix-Matrix Calculations
ML Fundamentals
R Tutorial : Matrix-Matrix Calculations
DataCamp Beginner 6y ago
R Tutorial : Linear Algebra for Data Science in R
ML Fundamentals
R Tutorial : Linear Algebra for Data Science in R
DataCamp Beginner 6y ago
Python Tutorial : Applying logistic regression and SVM
ML Fundamentals
Python Tutorial : Applying logistic regression and SVM
DataCamp Beginner 6y ago
Python Tutorial : Linear Classifiers in Python
ML Fundamentals
Python Tutorial : Linear Classifiers in Python
DataCamp Beginner 6y ago
Python Tutorial : Risk with missing data in loan data
ML Fundamentals
Python Tutorial : Risk with missing data in loan data
DataCamp Beginner 6y ago
Python Tutorial : Outliers in Credit Data
ML Fundamentals
Python Tutorial : Outliers in Credit Data
DataCamp Advanced 6y ago
Python Tutorial: Dealing with categorical features
ML Fundamentals
Python Tutorial: Dealing with categorical features
DataCamp Beginner 6y ago
Python Tutorial: Numeric variables
ML Fundamentals
Python Tutorial: Numeric variables
DataCamp Beginner 6y ago
Python Tutorial: Understand the data
ML Fundamentals
Python Tutorial: Understand the data
DataCamp Beginner 6y ago
Python Tutorial: Introduction to IoT data
ML Fundamentals
Python Tutorial: Introduction to IoT data
DataCamp Beginner 6y ago
Python Tutorial: Making time series stationary
ML Fundamentals
Python Tutorial: Making time series stationary
DataCamp Beginner 6y ago
Python Tutorial: Introduction to time series and stationarity
ML Fundamentals
Python Tutorial: Introduction to time series and stationarity
DataCamp Beginner 6y ago
R Tutorial: Wrapping up linear regression
ML Fundamentals
R Tutorial: Wrapping up linear regression
DataCamp Beginner 6y ago
PySpark Tutorial: Where to Begin
ML Fundamentals
PySpark Tutorial: Where to Begin
DataCamp Beginner 6y ago
R Tutorial: Handling missing data
ML Fundamentals
R Tutorial: Handling missing data
DataCamp Beginner 6y ago
R Tutorial: Data normalization
ML Fundamentals
R Tutorial: Data normalization
DataCamp Beginner 6y ago
R Tutorial: Model Validation, Model Fit, and Prediction
ML Fundamentals
R Tutorial: Model Validation, Model Fit, and Prediction
DataCamp Beginner 6y ago
Python Tutorial: Decision-Tree for Regression
ML Fundamentals
Python Tutorial: Decision-Tree for Regression
DataCamp Beginner 6y ago
R Tutorial: Bivariate graphics
ML Fundamentals
R Tutorial: Bivariate graphics
DataCamp Beginner 6y ago
Python Tutorial: Machine Learning modeling steps
ML Fundamentals
Python Tutorial: Machine Learning modeling steps
DataCamp Beginner 6y ago
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Network and Security Optimization in Telecommunication
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Network and Security Optimization in Telecommunication
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Data Science Coding Challenge: Loan Default Prediction
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Data Science Coding Challenge: Loan Default Prediction
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Introduction to AI: Key Concepts and Applications
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Introduction to AI: Key Concepts and Applications
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Logistic Regression with R: Build & Predict
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Logistic Regression with R: Build & Predict
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Fundamentos de IA Aplicados ao CRM
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Fundamentos de IA Aplicados ao CRM
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Deep Learning RNN & LSTM: Stock Price Prediction
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Deep Learning RNN & LSTM: Stock Price Prediction
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