Python Machine Learning Courses
Python machine learning courses can help you learn data preprocessing, model selection, and evaluation techniques. You can build skills in implementing algorithms like regression, classification, and clustering, as well as working with neural networks. Many courses introduce tools such as TensorFlow, Scikit-learn, and Pandas, showing how these technologies support the development of AI applications and enhance your ability to analyze and interpret complex datasets.
Popular Python Machine Learning Courses and Certifications
Skills you'll gain: Sampling (Statistics), Data Mining, Statistical Hypothesis Testing, Probability, Statistical Machine Learning, Probability & Statistics, Linear Algebra, Statistical Methods, Statistical Analysis, Statistical Inference, Data Analysis, Probability Distribution, Data Science, Statistics, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Supervised Learning, Python Programming
Skills you'll gain: NumPy, Jupyter, Applied Machine Learning, Tensorflow, Machine Learning Methods, Machine Learning, Machine Learning Software, Development Environment, Artificial Intelligence and Machine Learning (AI/ML), Package and Software Management, Data Processing, Python Programming, Numerical Analysis, Computer Programming Tools, Software Installation, Linux, Environment
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), NumPy, Applied Machine Learning, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Artificial Intelligence, Development Environment, Pandas (Python Package), Deep Learning, Python Programming, Artificial Neural Networks, Data Manipulation, Programming Principles, Tensorflow, Machine Learning Methods, Regression Analysis, Machine Learning Software, Model Training, Computer Programming
Chegg Skills
Skills you'll gain: Prompt Engineering, Business Analytics, Server Side, Development Environment, Analytics, Responsible AI, Decision Support Systems, Pseudocode, Back-End Web Development, Data Literacy, Business Intelligence, Python Programming, Data Analysis, Web Development, Programming Principles, Data-Driven Decision-Making, Artificial Intelligence, Generative AI, Problem Solving, Critical Thinking
Skills you'll gain: Model Evaluation, Sampling (Statistics), NumPy, Pandas (Python Package), Data Literacy, Feature Engineering, Statistical Visualization, Data Analysis, Predictive Modeling, Analytics, Regression Analysis, Predictive Analytics, Statistics, Analysis, Computational Thinking, Data Science, Business Intelligence, Applied Machine Learning, Data Quality, Machine Learning
University of Glasgow
Skills you'll gain: Generative AI, Data Preprocessing, Model Evaluation, Generative Model Architectures, Dimensionality Reduction, Applied Machine Learning, Feature Engineering, Image Analysis, Tensorflow, Generative Adversarial Networks (GANs), Computer Vision, LLM Application, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Convolutional Neural Networks, Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Large Language Modeling, Data Cleansing, Autoencoders
Skills you'll gain: Supervised Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Model Deployment, Machine Learning Methods, Classification And Regression Tree (CART), Model Evaluation, Machine Learning, Machine Learning Software, Statistical Machine Learning, Classification Algorithms, Machine Learning Algorithms, Model Training, Model Optimization, Predictive Modeling, Decision Tree Learning, Python Programming, Bayesian Statistics, Data Science, Web Services
Skills you'll gain: Exploratory Data Analysis, Image Analysis, Data Preprocessing, Computer Vision, Model Training, Data Analysis, Applied Machine Learning, Data Ethics, MLOps (Machine Learning Operations), Model Evaluation, Machine Learning Software, Convolutional Neural Networks, Machine Learning Methods, Feature Engineering, Data Cleansing, Data Science, Data Mining, Python Programming, Data Collection, Artificial Intelligence and Machine Learning (AI/ML)
Imperial College London
Skills you'll gain: Dimensionality Reduction, Linear Algebra, Regression Analysis, NumPy, Calculus, Unsupervised Learning, Applied Mathematics, Statistical Methods, Descriptive Statistics, Model Optimization, Mathematical Software, Machine Learning Methods, Jupyter, Statistics, Numerical Analysis, Applied Machine Learning, Geometry, Artificial Neural Networks, Data Science, Data Manipulation
Skills you'll gain: Model Evaluation, Random Forest Algorithm, Model Optimization, Model Training, Statistical Machine Learning, Sampling (Statistics), Decision Tree Learning, Supervised Learning, Classification And Regression Tree (CART), Machine Learning Methods, Statistical Modeling, Predictive Modeling, Statistics, Machine Learning, Applied Machine Learning, Data Science, Statistical Methods, Predictive Analytics, Python Programming, Deep Learning
Skills you'll gain: Calculus, Integral Calculus, Model Optimization, Mathematical Software, Applied Mathematics, NumPy, Scientific Visualization, Algebra, Numerical Analysis, Applied Machine Learning, Programming Principles, Mathematical Modeling, Machine Learning Methods, Python Programming, Mathematical Theory & Analysis, Graphing, Data Science, Advanced Mathematics, Plot (Graphics), Derivatives
DeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Statistical Methods, Probability Distribution, Linear Algebra, Statistical Inference, Model Optimization, Machine Learning Methods, Statistics, Applied Mathematics, Probability, Calculus, Dimensionality Reduction, Applied Machine Learning, Mathematical Software, Data Transformation, Machine Learning
