Scikit-Learn Courses

Skills you'll gain: Exploratory Data Analysis, Plotly, Interactive Data Visualization, Data Visualization, Pandas (Python Package), Data Preprocessing, Data Cleansing, Data-Driven Decision-Making, Feature Engineering, Data Analysis, Data Transformation, Python Programming

Skills you'll gain: Supervised Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Model Deployment, Machine Learning Methods, Model Evaluation, Machine Learning, Classification Algorithms, Machine Learning Algorithms, Model Training, Model Optimization, Predictive Modeling, Decision Tree Learning, Python Programming, Artificial Neural Networks, Feature Engineering, Data Science, Web Services

Skills you'll gain: Unsupervised Learning, Data Mining, Social Network Analysis, ChatGPT, Embeddings, LLM Application, Applied Machine Learning, Machine Learning Methods, Data Science, Machine Learning, Anomaly Detection, Data Analysis, Model Training, Social Media Analytics, Data Manipulation, Python Programming, Exploratory Data Analysis, Machine Learning Algorithms, Classification Algorithms

Skills you'll gain: Matplotlib, Feature Engineering, Data Preprocessing, Seaborn, Plot (Graphics), Pandas (Python Package), Data Visualization, Statistical Visualization, Data Wrangling, Exploratory Data Analysis, Scikit Learn (Machine Learning Library), Data Analysis, Statistical Analysis, Statistical Machine Learning, Data Modeling, Data Engineering, Machine Learning, Statistical Modeling, Analysis, Regression Analysis

Skills you'll gain: LangChain, LLM Application, LangGraph, Vector Databases, Embeddings, AI Workflows, OpenAI API, Token Optimization, Retrieval-Augmented Generation, AI Orchestration, AI Integrations, Applied Machine Learning, Cloud-Based Integration, Data Processing, Data Storage Technologies

Skills you'll gain: Data Preprocessing, Feature Engineering, Model Evaluation, Bioinformatics, Exploratory Data Analysis, Random Forest Algorithm, Pandas (Python Package), Scikit Learn (Machine Learning Library), Applied Machine Learning, Data Manipulation, Dimensionality Reduction, Data Cleansing, Model Optimization, Keras (Neural Network Library), Machine Learning Algorithms, Data Transformation, Machine Learning Methods, NumPy, Machine Learning, Data Science

Skills you'll gain: Prompt Engineering, Prompt Patterns, Unit Testing, Large Language Modeling, LangChain, Generative AI, Retrieval-Augmented Generation, Data Wrangling, Responsible AI, Exploratory Data Analysis, Unsupervised Learning, Model Evaluation, Generative Model Architectures, PyTorch (Machine Learning Library), LLM Application, Keras (Neural Network Library), Supervised Learning, Vector Databases, Fine-tuning, Python Programming

Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, Applied Machine Learning, NumPy, Classification Algorithms, Data Preprocessing, Data Analysis, Python Programming, Regression Analysis, Machine Learning, Data Science, Statistical Hypothesis Testing, Artificial Intelligence and Machine Learning (AI/ML), Data Structures

Skills you'll gain: Model Evaluation, Random Forest Algorithm, Model Optimization, Sampling (Statistics), Decision Tree Learning, Classification And Regression Tree (CART), Machine Learning Methods, Machine Learning, Applied Machine Learning, Data Science, Machine Learning Algorithms, Python Programming, Classification Algorithms, Deep Learning

Skills you'll gain: Exploratory Data Analysis, Image Analysis, Data Preprocessing, Computer Vision, Model Training, Data Analysis, Applied Machine Learning, Data Ethics, Convolutional Neural Networks, Machine Learning Methods, Data Cleansing, Unsupervised Learning, Data Science, Data Mining, Python Programming, Data Collection, Unstructured Data, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Autoencoders

Skills you'll gain: NumPy, Jupyter, Applied Machine Learning, Tensorflow, Machine Learning Methods, Machine Learning, Machine Learning Software, Development Environment, Package and Software Management, Python Programming, Numerical Analysis, Linux, Environment

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