Results for "data cleaning and preprocessing for ml"
Status: Free TrialDeepLearning.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
Status: Free TrialSkills you'll gain: Data Cleansing, Sampling (Statistics), Data Integrity, Data Quality, Data Transformation, Data Validation, Analytics, Sample Size Determination, Google Sheets, SQL, Spreadsheet Software
Status: NewSkills you'll gain: Data Quality, Power BI, Data Analysis Expressions (DAX), Data Cleansing, Data Modeling, Data Management, Data Transformation, Data Preprocessing, Data Manipulation, Data Wrangling, Data Validation, Data Integration, Data Processing, Data Analysis, Data Visualization Software, Query Languages, Data Visualization
Status: NewStatus: Free TrialSkills you'll gain: Data Cleansing, Data Transformation, Data Preprocessing, Data Wrangling, Data Quality, Feature Engineering, Data Validation, Pandas (Python Package), Data Integrity, Predictive Modeling, Exploratory Data Analysis, Quality Assurance, Descriptive Analytics, Technical Documentation
Status: NewStatus: Free TrialSkills you'll gain: Data Preprocessing, Data Cleansing, Data Pipelines, Feature Engineering, Data Quality, MLOps (Machine Learning Operations), Extract, Transform, Load, Data Transformation, Data Integration, Dataflow, Development Environment, Data Wrangling, Apache Airflow, Package and Software Management, Git (Version Control System), Quality Assurance, Exploratory Data Analysis, Cost Management, Resource Utilization, Virtual Environment
Status: NewStatus: Free TrialSkills you'll gain: Model Evaluation, Data Analysis, Data Manipulation, Data Wrangling, Classification Algorithms, Data Collection, Image Analysis, Model Deployment, No-Code Development, Machine Learning Software, Data Analysis Software, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Methods, Data Science, Exploratory Data Analysis, Machine Learning Algorithms, Artificial Intelligence, Data Processing, Natural Language Processing
What brings you to Coursera today?
Status: NewStatus: Free TrialJohn Wiley & Sons
Skills you'll gain: Data Preprocessing, Model Evaluation, Data Processing, Model Deployment, Data Transformation, MLOps (Machine Learning Operations), Unsupervised Learning, Data Cleansing, Predictive Modeling, Model Training, Data Science, Data Analysis, Applied Machine Learning, Model Optimization, Technical Communication, Supervised Learning, Machine Learning, Artificial Neural Networks
Status: Free TrialSkills you'll gain: Data Quality, Responsible AI, Data Cleansing, Generative AI, Data Preprocessing, Data Validation, Automation, Tensorflow, OpenAI, Alteryx
Status: NewStatus: Free TrialSkills you'll gain: Data Preprocessing, Data Pipelines, Java Programming, Java, Data Processing, Feature Engineering, Data Import/Export, Data Cleansing, Data Quality, Model Training, Data Transformation, Data Validation, Data Integrity, Data Access, Continuous Monitoring, Apache Maven, Object Oriented Programming (OOP)
Status: Free TrialJohns Hopkins University
Skills you'll gain: Data Manipulation, Data Cleansing, Data Wrangling, Data Processing, Data Integration, Data Preprocessing, Data Transformation, Data Import/Export, Data Collection, Data Management, Web Scraping, Data Access, R Programming, R (Software), MySQL, File Management, SQL, Application Programming Interface (API)
Status: NewStatus: Free TrialSkills you'll gain: Apache Airflow, Data Governance, Data Management, Apache Spark, PySpark, Databricks, Record Keeping
Status: NewStatus: PreviewSkills you'll gain: Databricks, Model Deployment, MLOps (Machine Learning Operations), Application Deployment, Model Training, Model Evaluation, Feature Engineering, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Testing, AI Workflows, Machine Learning, System Monitoring, Security Controls
In summary, here are 10 of our most popular data cleaning and preprocessing for ml courses
- Mathematics for Machine Learning and Data Science: DeepLearning.AI
- Process Data from Dirty to Clean: Google
- Data Cleaning with Power BI: Packt
- Transform Data: Cleanse, Encode, Validate: Coursera
- Data Engineering & Pipeline Reliability for Machine Learning: Coursera
- No-Code Data Science and Machine Learning: Edureka
- Data Processing, Machine Learning, and Model Evaluation: John Wiley & Sons
- Smart Data Cleaning with Generative AI: Coursera
- Parse & Normalize Data for ML Pipelines: Coursera
- Getting and Cleaning Data: Johns Hopkins University
