Machine Learning
Showing 217–228 of 273 results
Performing Experiments in Python
Learn about experimental design, and how to explore your data to ask and answer meaningful questions.
Perfume Recommendation with Sentence-BERT
Master the art of recommending perfumes using Sentence-BERT, a powerful natural language processing model. Learn how to apply NLP techniques to suggest personalized fragrances based on user preferences and scent descriptions.
Play by Play: Machine Learning Exposed
In this course, you’ll explore machine learning topics, such as supervised learning, unsupervised learning, reinforcement learning, and deep learning.
Practical Guide to Neural Network Training: Working with Leading Frameworks
Today’s deep learning frameworks make it easier than ever to work with neural networks. This course will teach you how to efficiently build and train a neural network, while evaluating and addressing some common challenges.
Practicing Machine Learning Interview Questions in Python
Sharpen your knowledge and prepare for your next interview by practicing Python machine learning interview questions.
Precise Predictions: Classification for Flower and Tumors
Master classification techniques for precise predictions, including classifying flowers and detecting tumors. Learn how to apply machine learning models like logistic regression, SVM, and decision trees for accurate predictions.
Predict 2024 US Election with EDA & Machine Learning
Explore exploratory data analysis (EDA) and machine learning techniques to predict the outcome of the 2024 US Election. Learn how to clean, analyze, and visualize electoral data, then build models to make predictions using machine learning.
Predict credit defaults with random forest using Python
Learn how to predict credit defaults using the Random Forest algorithm in Python. Understand the data preprocessing steps, model training, and evaluation techniques that make Random Forest a powerful tool for financial risk analysis.
Predict house prices with regression algorithms and sklearn
Learn how to predict house prices using regression algorithms in Python with Scikit-learn. Discover the power of linear regression, decision trees, and other models to build accurate predictive models for real estate and housing markets.
Predict payment defaults using SVM with Python
Learn how to predict payment defaults using Support Vector Machines (SVM) in Python. Understand how to preprocess financial data, train SVM models, and assess their effectiveness in predicting customer behavior in the finance industry.
Predict stock prices with LSTM in PyTorch
Dive into predicting stock prices using Long Short-Term Memory (LSTM) networks in PyTorch. Learn how to build and train LSTM models to analyze time series data and predict future stock market trends with deep learning.
Predicting CTR with Machine Learning in Python
Learn how to predict click-through rates on ads and implement basic machine learning models in Python so that you can see how to better optimize your ads.