Data science ,Analytics & AI Real world Project using Python
通过使用Python解决实际分析问题,掌握人工智能、数据分析、机器学习和数据挖掘!

你会学到什么
从数据收集到构建机器学习模型,从零到英雄
各种特征工程技术&如何在现实世界中应用
如何处理现实世界中的问题..
借助强大的数据挖掘和机器学习算法,实时解决您的业务、工作中的任何问题
个案研究

MP4 |视频:h264,1280×720 |音频:AAC,44.1 KHz,2 Ch
语言:英语+中英文字幕(云桥网络 机译)云桥网络 |时长:24节课(3h 57m) |大小解压后:2.07 GB


要求
推荐Python编程的基础知识。

描述
这是第一门使用Python进行数据科学、分析和人工智能真实世界项目实践的课程..

这是一门实践性很强的课程,是我刚开始学习数据科学时就希望拥有的课程。

它侧重于理解作为数据科学家所需的所有基本理论和编程技能,但最好的部分是它有实用的案例研究,涵盖了数据科学家在现实世界中面临的许多常见业务问题。

本课程将涵盖以下主题

Python的所有基本内容

循环和条件句

功能

使用正则表达式处理文本数据

Numpy,seaborn,matplotlib,plotly和熊猫图书馆

其他一些花哨的库,比如——模糊不清

除了python编程,本课程还将涵盖其他数据分析概念,例如

数据可视化

数据清理

查询分析

数据探索

统计和概率概念

特征工程

特征化

自然语言处理

机器学习

模型超调

“数据科学家已经连续4年成为美国的最高职位!”据《哈佛商业评论&玻璃门》报道。

本课程旨在填补所有吓退初学者的知识空白,同时将您的数据科学、机器学习、数据分析、自然语言处理知识应用于现实世界的业务问题。

这门课是给谁的

数据科学初学者

希望对数据做更多工作的数据分析师/业务分析师

缺乏真实世界经验的大学毕业生

希望开始学习数据科学的软件开发人员或工程师

任何想成为数据科学家的人

任何对使用数据解决现实世界问题感兴趣的人

这门课是给谁的
希望将自己的知识应用于真实世界案例研究的数据科学家


MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 24 lectures (3h 57m) | Size: 1.87 GB

Master AI , Data Analytics , Machine Learning & Data Sceince by solving Real-Life Analytics Problems using Python !

What you’ll learn
Go from zero to hero in Entire Pipeline of AI/Data Science/Machine learning from Data Collection to building a Machine Learning Model
Various Feature Engineering Techniques & how to apply it in Real-World
How to Approach a problem in Real-world..
Solve any problem in your business, job or in real-time with powerful Data Sceince & Machine Learning algorithms
Case studies

Requirements
Basic knowledge of Python programming is recommended.

Description
This is the first course that gives hands-on Data Science, Analytics & AI Real world Projects using Python..

This is a practical course, the course I wish I had when I first started learning Data Science.

It focuses on understanding all the basic theory and programming skills required as a Data Scientist, but the best part is that it has Practical Case Studies covering so many common business problems faced by Data Scientists in the real world.

This course will cover the following topics:-

All basic stuffs of Python

Loops and conditionals

Functions

Working with Text data using Regular expressions

Numpy ,seaborn, matplotlib ,plotly and pandas library

Some Other fancy libraries like- fuzzywuzzy

Along with python programming, this course will cover other data analytics concepts such as

Data Visualization

Data cleaning

Query Analysis

Data Exploration

Statistics and Probability concepts

Feature Engineering

Featurization

Natural Language Processing

Machine Learning

Model Hypertuning

“Data Scientist has become the top job in the US for the last 4 years running!” according to Harvard Business Review & Glassdoor.

This course seeks to fill all those gaps in knowledge that scare off beginners and simultaneously apply your knowledge of Data Science , Machine Learning , Data analysis ,, Natural Language Processing to real-world business problems.

Who this course is for

Beginners of Data Science

Data Analysts / Business Analysts who wish to do more with their data

College graduates who lack real world experience

Software Developers or Engineers who’d like to start learning Data Science

Anyone looking to become more employable as a Data Scientist

Anyone with an interest in using Data to Solve Real World Problems

Who this course is for
Data Scientists who want to apply their knowledge on Real World Case Studies
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