Description
Data Science & Deep Learning for Business™ 20 Case Studies is a data science and deep learning course for business with 20 case studies that you use Python to solve problems in retail, marketing, product recommendation products, category You will solve customer classification, natural language processing, forecasts 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 problems 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 GMM, PCA and t-SNE
- Create a product suggestion tool
- Hypothesis assessment and A/B testing, understanding t-tests and p-values
- natural language processing
- Use iPython notebooks from Google Colab
- Develop Your Machine Learning Models on the Cloud Using AWS
- Advanced Pandas techniques, from vectorization to parallel processing
- Theoretical discussion of statistics, probabilities, distribution and analysis of exploratory data
- Big Data skills Using PySpark to manipulate and analyze data
- Applying data science to marketing to improve conversion rates
Course specifications
Publisher: Udemy
Instructors: Rajeev D. Ratan and Nidia Sahjara
French language
Level: Introductory to Advanced
Number of courses: 187
Duration: 20 hours and 31 minutes
Course topics on 2021/5:
Prerequisites for Data Science & Deep Learning for Business™ 20 case studies:
Familiar with basic programming concepts
High school math skills
high speed internet connection
Pictures
Data Science & Deep Learning for Business™ Introductory Video 20 Case Studies:
Installation guide
After ripping, watch with your favorite player.
Subtitle: None
Quality: 720p
Download link
File password(s): ngaur.com
Cut
2.6 GB