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Results for "chemical classification"
Skills you'll gain: Supervised Learning, Feature Engineering, Jupyter, Unsupervised Learning, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Python Programming, Applied Machine Learning, Statistical Machine Learning, Predictive Modeling, Machine Learning, Dimensionality Reduction, Classification And Regression Tree (CART), Matplotlib, Regression Analysis, Random Forest Algorithm, Statistical Modeling, Data Manipulation
- Status: Free
Georgia Institute of Technology
Skills you'll gain: Manufacturing Processes, Mechanical Engineering, Engineering, Thermal Management, Physical Science, Semiconductors, Physics, Process Analysis
DeepLearning.AI
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Computer Vision, Image Analysis, Applied Machine Learning, Deep Learning, Artificial Neural Networks, Predictive Modeling, Machine Learning, Supervised Learning, Data Processing
DeepLearning.AI
Skills you'll gain: Deep Learning, Artificial Neural Networks, Tensorflow, Supervised Learning, Keras (Neural Network Library), Artificial Intelligence, Machine Learning, Python Programming, NumPy, Performance Tuning
Skills you'll gain: Quality Control, Product Development, Packaging and Labeling, Quality Assurance and Control, Prototyping, Product Quality (QA/QC), New Product Development, Quality Assessment, Statistical Process Controls, Product Design, Research and Design, Product Testing, Verification And Validation, Health And Safety Standards, Personal Care, Safety Assurance, Good Manufacturing Practices, Record Keeping, Technical Documentation, Life Sciences
University of California San Diego
Skills you'll gain: Pharmaceuticals, Clinical Research, Bioinformatics, Medical Science and Research, Life Sciences, Product Testing, Data Management
Johns Hopkins University
Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Feature Engineering, Generative AI, Dimensionality Reduction, Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Cleansing, Applied Machine Learning, Data Access, Deep Learning, Data Analysis, Regression Analysis, Machine Learning, Statistical Analysis, Statistical Inference, Machine Learning Algorithms, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library)
Skills you'll gain: Jupyter, Peer Review, Data Modeling, Data Science, Data Cleansing, Business Analysis, Data Processing, Predictive Modeling, Data Quality, Data Storytelling, User Feedback, Decision Tree Learning
University of Michigan
Skills you'll gain: Matplotlib, Network Analysis, Feature Engineering, Plot (Graphics), Data Visualization Software, Interactive Data Visualization, Pandas (Python Package), Applied Machine Learning, Supervised Learning, Text Mining, Scikit Learn (Machine Learning Library), Network Model, Jupyter, NumPy, Graph Theory, Data Manipulation, Natural Language Processing, Data Analysis, Data Processing, Unstructured Data
DeepLearning.AI
Skills you'll gain: Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Debugging, Supervised Learning, Data-Driven Decision-Making, Performance Tuning
DeepLearning.AI
Skills you'll gain: Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, Machine Learning Methods, Artificial Neural Networks, Applied Machine Learning, Machine Learning, Supervised Learning, Machine Learning Algorithms, Network Architecture, Algorithms, Analysis, Debugging
In summary, here are 10 of our most popular chemical classification courses
- Machine Learning with Python:Â IBM
- Material Processing:Â Georgia Institute of Technology
- Convolutional Neural Networks in TensorFlow:Â DeepLearning.AI
- Neural Networks and Deep Learning:Â DeepLearning.AI
- Introduction to Cosmetic Science and Ingredients:Â Olay
- Drug Discovery :Â University of California San Diego
- Introduction to the Biology of Cancer:Â Johns Hopkins University
- IBM Machine Learning:Â IBM
- Data Science Methodology:Â IBM
- Applied Data Science with Python:Â University of Michigan