Applied Machine Learning Courses

Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Python Programming, Classification Algorithms, Artificial Neural Networks

Skills you'll gain: Computer Vision, Model Evaluation, PyTorch (Machine Learning Library), Supervised Learning, Unsupervised Learning, Image Analysis, Applied Machine Learning, Data Preprocessing, Dimensionality Reduction, Machine Learning Methods, Reinforcement Learning, Feature Engineering, Machine Learning Algorithms, Convolutional Neural Networks, Regression Analysis, Data Processing, Model Training, Machine Learning, Deep Learning, Model Optimization

Skills you'll gain: Time Series Analysis and Forecasting, MLOps (Machine Learning Operations), Feature Engineering, Model Deployment, Forecasting, Decision Tree Learning, Machine Learning Methods, Applied Machine Learning, Recurrent Neural Networks (RNNs), Containerization, Model Evaluation, Docker (Software), CI/CD, Model Training, Application Deployment, Machine Learning, Predictive Modeling, Data Preprocessing, Supervised Learning, Data Science

Skills you'll gain: Unsupervised Learning, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Applied Machine Learning, Machine Learning Algorithms, Transfer Learning, Machine Learning, Machine Learning Methods, Decision Tree Learning, Model Evaluation, Responsible AI, Tensorflow, Scikit Learn (Machine Learning Library), Artificial Intelligence, NumPy, Predictive Modeling, Classification Algorithms, Reinforcement Learning, Random Forest Algorithm

Skills you'll gain: Model Evaluation, Supervised Learning, Machine Learning Methods, Classification Algorithms, Machine Learning, Model Training, Logistic Regression, Data Analysis

Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Data Science, Predictive Modeling, Machine Learning Methods, Data Literacy, Machine Learning, Applied Machine Learning, Machine Learning Software, Feature Engineering, Random Forest Algorithm, Logistic Regression, Data Processing, Model Optimization, Linear Algebra, Predictive Analytics, Data Manipulation, Decision Tree Learning, Data Visualization

Skills you'll gain: Computer Vision, Model Evaluation, Supervised Learning, Image Analysis, Data Preprocessing, Applied Machine Learning, Machine Learning Methods, Feature Engineering, Machine Learning Algorithms, Data Processing, Model Training, Model Optimization, Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Machine Learning Software, Data Integration, Data Transformation, Classification Algorithms, Regression Analysis

Skills you'll gain: Supervised Learning, Model Optimization, Feature Engineering, Applied Machine Learning, Unsupervised Learning, Model Evaluation, Machine Learning Algorithms, Classification Algorithms, Dimensionality Reduction, Fine-tuning

Skills you'll gain: Feature Engineering, Model Deployment, Data Preprocessing, Machine Learning Methods, Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Model Evaluation, Unsupervised Learning, Containerization, Development Testing, Code Reusability, Pandas (Python Package), Docker (Software), Restful API, Software Development, Python Programming, Application Programming Interface (API)

Skills you'll gain: AWS SageMaker, Unsupervised Learning, Feature Engineering, Time Series Analysis and Forecasting, Model Deployment, Model Optimization, Cloud Deployment, Amazon Web Services, Applied Machine Learning, Machine Learning Methods, Amazon S3, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Model Evaluation, Forecasting, Dimensionality Reduction

Skills you'll gain: Bayesian Statistics, Statistical Modeling, Predictive Analytics, Statistics, Regression Analysis, Predictive Modeling, Statistical Inference, Probability & Statistics, Model Evaluation, Data Analysis, Data Science, Statistical Machine Learning, Statistical Analysis, Statistical Programming, Markov Model, Probability Distribution, Machine Learning Algorithms, Machine Learning, Python Programming, Computational Thinking

Skills you'll gain: Unsupervised Learning, Exploratory Data Analysis, Autoencoders, Feature Engineering, Dimensionality Reduction, Supervised Learning, Classification Algorithms, Regression Analysis, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Deep Learning, Data Science, Machine Learning, Python Programming