Udemy – Data Science & Deep Learning for Business ™ 20 Case Studies

Description

Data Science & Deep Learning for Business ™ 20 Case Studies is a data science and in-depth learning course for businesses with 20 case studies that you use Python to address issues in retail, marketing, product recommendation, category You will solve customer classification, natural language processing, forecasting and more.

What you will learn in Data Science & Deep Learning for Business ™ 20 Case Studies:

  • Understand the value of data for business
  • Solve common business issues in marketing, sales, customer classification, banking, real estate, insurance, travel and more
  • Learn Python, Pandas, Matplotlib & Seaborn, SkLearn, Keras, Tensorflow, NLTK, Prophet, PySpark, MLLib and more
  • Machine learning including linear regression, K-NNs, Logistic Regressions, SVMs, Decision Trees and Random Forests
  • Unsupervised machine learning including K-Means, Mean-Shift, DBSCAN, EM with GMMs, PCA and t-SNE
  • Build a product suggestion tool
  • Hypothesis evaluation and A / B testing, understanding of t-tests and p values
  • Natural Language Processing
  • Use Google Colab’s iPython notebooks
  • Develop your machine learning models on the cloud using AWS
  • Pandas advanced techniques from Vectorizing to parallel processing
  • Theoretical discussion of statistics, probabilities, distribution and analysis of exploratory data
  • Big Data Skills Using PySpark to manipulate data and analyze data
  • Apply data science to marketing to improve conversion rates

Course specifications

Publisher: Udemy
Instructors: Rajeev D. Ratan and Nidia Sahjara
Language: English
Level: Introductory to Advanced
Number of Courses: 187
Duration: 20 hours and 31 minutes

Data Science & Deep Learning for Business ™ 20 Case Studies Content

Installation guide

After Extract, watch with your favorite Player.

Subtitle: None

Quality: 720p

download link

Download Part 1 – 1 GB

Download Part 2 – 1 GB

Download Section 3 – 575 MB

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