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  • Python For Genomic Data Science

Results for "python for genomic data science"


  • Status: Free Trial
    Free Trial
    S

    Scrimba

    Retrieval-Augmented Generation (RAG) with Embeddings & Vector Databases

    Skills you'll gain: Prompt Engineering, Development Environment, Large Language Modeling, Data Store, LLM Application, Text Mining, Generative AI, Databases, Database Development, OpenAI, Database Management, Semantic Web, Data Storage Technologies, Document Management, Artificial Intelligence, Data Storage, Data Processing, Natural Language Processing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    41 reviews

    Intermediate · Course · 1 - 4 Weeks

  • S

    SAS

    Practical SAS Programming and Certification Review

    Skills you'll gain: SAS (Software), Data Import/Export, Statistical Analysis, Data Analysis, Statistical Programming, Data Manipulation, Data Processing, Data Access, Computer Programming

    4.9
    Rating, 4.9 out of 5 stars
    ·
    356 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    SAS

    Performing Network, Path, and Text Analyses in SAS Visual Analytics

    Skills you'll gain: SAS (Software), Network Analysis, Text Mining, Spatial Analysis, Data Visualization, Geospatial Mapping, Data Manipulation, Data Analysis, Exploratory Data Analysis, Statistical Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    194 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Introduction to Recommender Systems: Non-Personalized and Content-Based

    Skills you'll gain: Taxonomy, AI Personalization, Spreadsheet Software, Machine Learning, Predictive Analytics, Microsoft Excel, Statistical Methods, Persona Development, Text Mining, Descriptive Statistics, Data Collection, Algorithms, Computer Programming, Java

    4.4
    Rating, 4.4 out of 5 stars
    ·
    656 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Computer Vision Fundamentals with Google Cloud

    Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Supervised Learning, Google Cloud Platform, Feature Engineering, Small Data, Cloud API

    4.5
    Rating, 4.5 out of 5 stars
    ·
    546 reviews

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    B

    Birla Institute of Technology & Science, Pilani

    Probability and Statistics

    Skills you'll gain: Data Analysis, Statistical Analysis, Statistical Methods, Exploratory Data Analysis, Predictive Modeling, Applied Mathematics, Data Visualization

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Hyperparameter Tuning with Keras Tuner

    Skills you'll gain: Keras (Neural Network Library), Artificial Neural Networks, Applied Machine Learning, Deep Learning, Python Programming, Performance Tuning, Machine Learning Algorithms, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    70 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 3: Learning

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Markov Model, Machine Learning, Statistical Modeling, Network Analysis, Probability Distribution, Statistical Methods, Probability & Statistics, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    303 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Bayesian Statistics: Time Series Analysis

    Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, R Programming, Bayesian Statistics, Advanced Analytics, Statistical Modeling, R (Software), Statistical Analysis, Statistical Inference, Data Analysis, Mathematical Modeling, Probability Distribution

    4.2
    Rating, 4.2 out of 5 stars
    ·
    17 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    P

    Packt

    Machine Learning with PyTorch and Scikit-Learn

    Skills you'll gain: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Generative AI, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Machine Learning, Artificial Neural Networks, Data Processing, Natural Language Processing, Feature Engineering, Predictive Modeling, Supervised Learning, Unsupervised Learning, Data Transformation, NumPy

    Intermediate · Course · 3 - 6 Months

  • Status: Free
    Free
    C

    Coursera

    Product Reviews Text-based Search - OpenAI Text Embedding

    Skills you'll gain: Dimensionality Reduction, OpenAI, Application Development, Exploratory Data Analysis, Application Programming Interface (API), Text Mining, Python Programming, Data Analysis, Natural Language Processing, Data Manipulation

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, Deep Learning, Unsupervised Learning, Natural Language Processing, Responsible AI, Time Series Analysis and Forecasting, Data Visualization, Supervised Learning, Image Analysis, Machine Learning, Text Mining, Computer Vision, Data Processing, Artificial Intelligence, Scatter Plots, Data Visualization Software, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML)

    4.4
    Rating, 4.4 out of 5 stars
    ·
    35 reviews

    Intermediate · Specialization · 3 - 6 Months

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In summary, here are 10 of our most popular python for genomic data science courses

  • Retrieval-Augmented Generation (RAG) with Embeddings & Vector Databases: Scrimba
  • Practical SAS Programming and Certification Review: SAS
  • Performing Network, Path, and Text Analyses in SAS Visual Analytics: SAS
  • Introduction to Recommender Systems: Non-Personalized and Content-Based: University of Minnesota
  • Computer Vision Fundamentals with Google Cloud: Google Cloud
  • Probability and Statistics: Birla Institute of Technology & Science, Pilani
  • Hyperparameter Tuning with Keras Tuner: Coursera
  • Probabilistic Graphical Models 3: Learning: Stanford University
  • Bayesian Statistics: Time Series Analysis: University of California, Santa Cruz
  • Machine Learning with PyTorch and Scikit-Learn: Packt

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Statistical Analysis (36)
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Data Mining (27)
Exploratory Data Analysis (26)
Data Modeling (21)
Data Manipulation (20)

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