Data Science & Deep Learning for Business™ 20 Case Studies

 Welcome to the course on Data Science & Deep Learning for Business™ 20 Case Studies! All MBA's will preach that Data-Driven Methods udemy discount
 Data Science & Deep Learning for Business™ 20 Case Studies
What you'll learn
  • Understand the value of data for businesses
  • Learn to use Python, Pandas, Matplotlib & Seaborn, SkLearn, Keras, Tensorflow, NLTK, Prophet, PySpark, MLLib and more!
  • Apply Data Science in Marketing to improve Conversion Rates, Predict Engagement and Customer Life Time Value
  • Machine Learning from Linear Regressions (polynomial & multivariate), K-NNs, Logistic Regressions, SVMs, Decision Trees & Random Forests
  • Unsupervised Machine Learning with K-Means, Mean-Shift, DBSCAN, EM with GMMs, PCA and t-SNE
  • Build a Product Recommendation Tool using collaborative & item/content based
  • Hypothesis Testing and A/B Testing - Understand t-tests and p values
  • Natural Langauge Processing - Summarize Reviews, Sentiment Analysis on Airline Tweets & Spam Detection
  • To use Google Colab's iPython notebooks for fast, relaible cloud based data science work
  • Deploy your Machine Learning Models on the cloud using AWS 
 This course takes on Machine Learning and Statistical theory and teaches you to use it in solving 20 real-world Business problems.  Data Scientist is the buzz of the 21st century for good reason! The tech revolution is just starting and Data Science is at the forefront.
As a result, "Data Scientist has become the top job in the US for the last 4 years running!" according to Harvard Business Review & Glassdoor.
However, Data Science has a difficult learning curve - How does one even get started in this industry awash with mystique, confusion, impossible-looking mathematics, and code? Even if you get your feet wet, applying your newfound Data Science knowledge to a real-world problem is even more confusing.

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