Practical Data Science using Python free download

Practical Data Science using Python for Data Science and Machine Learning . Exploratory Data Analysis (EDA) and Statistical Techniques . Introduction to Deep Neural Networks and Introduction to deep Neural Networks . Data Science Core Concepts in Detail, Data Science Use Cases, Life Cycle and Methodologies . Data Scientist or Machine Learning Engineer? if yes, then this course is for you . Are you aspiring to become a Data Scientist? If yes, you’ll learn to be a data scientist or machine learning engineer? If so, then you’ll be able to use Python to help you understand data science and machine learning . In this course, you learn how to use the language of Python for data science .

What you’ll discover in Practical Information Scientific research using Python

  1. Information Scientific Research Core Concepts in Detail
  2. Information Science Use Situations, Life Cycle as well as Methodologies
  3. Exploratory Data Evaluation (EDA)
  4. Analytical Methods
  5. Thorough coverage of Python for Information Science and Artificial Intelligence
  6. Regression Formula – Linear Regression
  7. Category Troubles and Classification Algorithms
  8. Not being watched Understanding making use of K-Means Clustering
  9. Dimensionality Reduction Techniques (PCA)
  10. Feature Design Techniques
  11. Version Optimization utilizing Hyperparameter Tuning
  12. Model Optimization using Grid-Search Cross Recognition
  13. Introduction to Deep Neural Networks

Description

Are you aspiring to come to be a Data Scientist or Artificial Intelligence Designer? if indeed, after that this course is for you.

In this training course, you will certainly learn about core principles of Information Scientific research, Exploratory Information Evaluation, Statistical Approaches, duty of Information, Python Language, challenges of Predisposition, Variance and Overfitting, selecting the ideal Efficiency Metrics, Model Evaluation Methods, Design Optmization making use of Hyperparameter Tuning and Grid Browse Cross Validation strategies, and so on.

You will certainly learn how to execute thorough Information Evaluation using Pythin, Statistical Techniques, Exploratory Data Evaluation, using different Predictive Modelling Strategies such as a range of Category Algorithms, Regression Versions as well as Clustering Versions. You will discover the scenarios and use cases of deploying Anticipating models.

This training course covers Python for Data Scientific Research as well as Artificial intelligence in great information as well as is absolutely essential for the newbie in Python.

Who this course is for:

  • Aspiring Data Science Professionals
  • Aspiring Machine Learning Engineers
File Name :Practical Data Science using Python free download
Content Source:udemy
Genre / Category:Development
File Size :1.10 gb
Publisher :Manas Dasgupta
Updated and Published:08 Aug,2022

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File name: Practical-Data-Science-using-Python.rar
File Size:1.10 gb
Course duration:2 hours
Instructor Name:Manas Dasgupta
Language:English
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