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  • Python For Genomic Data Science

Results for "python for genomic data science"


  • Status: Free Trial
    Free Trial
    S

    SkillUp

    Overview: Six Sigma and the Organization

    Skills you'll gain: Six Sigma Methodology, Lean Methodologies, Operational Excellence, Process Improvement, Stakeholder Management, Quality Management, Organizational Strategy, Continuous Improvement Process, Root Cause Analysis, Data-Driven Decision-Making, Data Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    38 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Foundations of Neural Networks

    Skills you'll gain: Responsible AI, Autoencoders, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Data Ethics, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Machine Learning Algorithms, Model Deployment, Debugging, Artificial Intelligence, Image Analysis, Unsupervised Learning, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Computer Vision

    4.4
    Rating, 4.4 out of 5 stars
    ·
    11 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Glasgow

    Informed Clinical Decision Making using Deep Learning

    Skills you'll gain: Deep Learning, Model Evaluation, Data Ethics, Health Informatics, ICD Coding (ICD-9/ICD-10), Clinical Data Management, Medical Records, Clinical Informatics, Descriptive Analytics, Database Design, AI Security, Electronic Medical Record, Responsible AI, Data Mining, Precision Medicine, Analytics, Recurrent Neural Networks (RNNs), Data Preprocessing, Machine Learning, Autoencoders

    4.4
    Rating, 4.4 out of 5 stars
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    35 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    Réseaux neuronaux et Deep Learning

    Skills you'll gain: Deep Learning, Supervised Learning, Artificial Neural Networks, Convolutional Neural Networks, Computer Vision, Recurrent Neural Networks (RNNs), Machine Learning, Performance Tuning, Python Programming, NumPy, Linear Algebra, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
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    18 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Linear Algebra: Linear Systems and Matrix Equations

    Skills you'll gain: Linear Algebra, Algebra, Advanced Mathematics, Mathematical Modeling, Engineering Analysis, Applied Mathematics, Mathematical Theory & Analysis, Geometry

    4.7
    Rating, 4.7 out of 5 stars
    ·
    161 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Applied Machine Learning: Techniques and Applications

    Skills you'll gain: Computer Vision, Model Evaluation, Supervised Learning, Image Analysis, Data Preprocessing, Applied Machine Learning, Feature Engineering, Machine Learning Algorithms, Predictive Modeling, Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Data Integration, Data Transformation, Classification Algorithms

    3.7
    Rating, 3.7 out of 5 stars
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    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    AI ML with Deep Learning and Supervised Models

    Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Reinforcement Learning, Artificial Intelligence, Classification Algorithms, Classification And Regression Tree (CART), Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Machine Learning, Decision Tree Learning, Predictive Analytics, Regression Analysis

    4
    Rating, 4 out of 5 stars
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    10 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    B

    Board Infinity

    Generative AI: Prompt Engineering Basics

    Skills you'll gain: Responsible AI, LLM Application, Model Evaluation, Scripting, Debugging

    4.7
    Rating, 4.7 out of 5 stars
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    44 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    National Taiwan University

    機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations

    Skills you'll gain: Machine Learning Algorithms, Model Evaluation, Classification Algorithms, Algorithms, Supervised Learning, Logistic Regression, Machine Learning, Applied Machine Learning, Data Validation, Regression Analysis, Feature Engineering, Statistical Methods, Verification And Validation

    4.9
    Rating, 4.9 out of 5 stars
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    331 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Intro to TensorFlow en Español

    Skills you'll gain: Model Deployment, Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Pipelines, Deep Learning, Machine Learning Methods, Data Preprocessing, NumPy, Supervised Learning, Pandas (Python Package)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    137 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Basic Image Classification with TensorFlow

    Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Tensorflow, Image Analysis, Artificial Neural Networks, Deep Learning, Computer Vision, Machine Learning, Classification Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    847 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    AI Enhancement with Knowledge Graphs - Mastering RAG Systems

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, AI Workflows, Embeddings, Large Language Modeling, Graph Theory, Query Languages, Data Visualization Software, Development Environment

    4.9
    Rating, 4.9 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Overview: Six Sigma and the Organization: SkillUp
  • Foundations of Neural Networks: Johns Hopkins University
  • Informed Clinical Decision Making using Deep Learning: University of Glasgow
  • Réseaux neuronaux et Deep Learning: DeepLearning.AI
  • Linear Algebra: Linear Systems and Matrix Equations: Johns Hopkins University
  • Applied Machine Learning: Techniques and Applications: Johns Hopkins University
  • AI ML with Deep Learning and Supervised Models: Simplilearn
  • Generative AI: Prompt Engineering Basics: Board Infinity
  • 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations: National Taiwan University
  • Intro to TensorFlow en Español: Google Cloud

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Analytics (85)
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R Programming (37)
Statistical Analysis (36)
Sql (33)
Data Model (29)
Data Mining (27)
Exploratory Data Analysis (26)
Data Modeling (21)
Data Manipulation (20)

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