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Python Libraries for Data Science AIML End to End Session 9
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Ready to dive deep into the world of
Artificial Intelligence
Machine Learning (AIML)?
In Session 9, we will explore key Python libraries essential for data science and artificial intelligence/machine learning (AIML). This session provides a comprehensive overview of libraries that streamline the process of data manipulation, visualization, and model development. We will cover popular libraries such as NumPy, pandas, Matplotlib, Scikit-learn, and TensorFlow, discussing their roles and how to use them effectively in end-to-end data science and AIML projects. By the end of this session, participants will gain practical knowledge of how to leverage these libraries to build, evaluate, and deploy machine learning models efficiently.
Seize this exclusive
opportunity to
accelerate your learning with Personalized
Live sessions tailored just for you!
Google Form Registration:
Secure your spot by filling out the Google Form below.
#Python #DataScience #AIML #NumPy #pandas #Matplotlib #ScikitLearn #TensorFlow #Keras #DataAnalysis #MachineLearning #DeepLearning #PythonLibraries #DataVisualization #ModelDevelopment
@TwoMinutePapers
@3Blue1Brown
@sirajraval
@sentdex
@DeepMind
@lexfridman
@DataSchool
@TensorFlow
@PyTorch
@TheCodingTrain
@KrishNaik
@MachineLearningTV
@AIEngineering
@ArtificialIntelligence
@JeremyHoward
@TechWithTim
@GoogleAI
@AIandGames
@AIhub
@AIforAll
@HarvardInsights
@StanfordScholars
@MITOpenCourseWare
@UCBerkeleyOfficial
@OxfordAcademia
@CambridgeScholars
@YaleUniversity
@PrincetonPerspectives
@ColumbiaEducate
@CaltechDiscoveries
@UChicagoIntellect
@ImperialCollegeLondon
@ETHZurichKnowledge
@UniversityofTokyoOfficial
@UCLAInsights
@MichiganStateUniversity
@UniversityofToronto
@PekingUniversity
@NUSingapore
@ANUResearch
Artificial Intelligence
Machine Learning (AIML)?
In Session 9, we will explore key Python libraries essential for data science and artificial intelligence/machine learning (AIML). This session provides a comprehensive overview of libraries that streamline the process of data manipulation, visualization, and model development. We will cover popular libraries such as NumPy, pandas, Matplotlib, Scikit-learn, and TensorFlow, discussing their roles and how to use them effectively in end-to-end data science and AIML projects. By the end of this session, participants will gain practical knowledge of how to leverage these libraries to build, evaluate, and deploy machine learning models efficiently.
Seize this exclusive
opportunity to
accelerate your learning with Personalized
Live sessions tailored just for you!
Google Form Registration:
Secure your spot by filling out the Google Form below.
#Python #DataScience #AIML #NumPy #pandas #Matplotlib #ScikitLearn #TensorFlow #Keras #DataAnalysis #MachineLearning #DeepLearning #PythonLibraries #DataVisualization #ModelDevelopment
@TwoMinutePapers
@3Blue1Brown
@sirajraval
@sentdex
@DeepMind
@lexfridman
@DataSchool
@TensorFlow
@PyTorch
@TheCodingTrain
@KrishNaik
@MachineLearningTV
@AIEngineering
@ArtificialIntelligence
@JeremyHoward
@TechWithTim
@GoogleAI
@AIandGames
@AIhub
@AIforAll
@HarvardInsights
@StanfordScholars
@MITOpenCourseWare
@UCBerkeleyOfficial
@OxfordAcademia
@CambridgeScholars
@YaleUniversity
@PrincetonPerspectives
@ColumbiaEducate
@CaltechDiscoveries
@UChicagoIntellect
@ImperialCollegeLondon
@ETHZurichKnowledge
@UniversityofTokyoOfficial
@UCLAInsights
@MichiganStateUniversity
@UniversityofToronto
@PekingUniversity
@NUSingapore
@ANUResearch