[ FreeCourseWeb ] Udemy - Build & Deploy Data Science Web Application In Cloud

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[ FreeCourseWeb.com ] Udemy - Build & Deploy Data Science Web Application In Cloud
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Introduction
    • 1. Introduction To The Course.mp4 (23.3 MB)
    • 1. Introduction To The Course.srt (0.0 KB)
    10. Project-9 Happiness Ranking Django Application
    • 1. Introduction.mp4 (16.3 MB)
    • 1. Introduction.srt (3.8 KB)
    • 2. Project Notebook.mp4 (240.6 MB)
    • 2. Project Notebook.srt (29.3 KB)
    • 3. Creating Django App.mp4 (138.4 MB)
    • 3. Creating Django App.srt (18.4 KB)
    • 4. Deploying Django App.mp4 (59.4 MB)
    • 4. Deploying Django App.srt (9.2 KB)
    11. Project-10 Forest Fire Django App
    • 1. Introduction.mp4 (19.4 MB)
    • 1. Introduction.srt (4.6 KB)
    • 2. Project Notebook.mp4 (207.1 MB)
    • 2. Project Notebook.srt (26.7 KB)
    • 3. Project Notebook Part2.mp4 (76.4 MB)
    • 3. Project Notebook Part2.srt (8.4 KB)
    • 4. Creating Django APP.mp4 (117.1 MB)
    • 4. Creating Django APP.srt (16.4 KB)
    • 5. Deploying Django App.mp4 (57.6 MB)
    • 5. Deploying Django App.srt (9.9 KB)
    • 2. Creating Colab Notebook.jpeg (213.7 KB)
      • 2. Project-1 Sentiment Analysis Web Application
      • 1. Introduction.mp4 (9.2 MB)
      • 1. Introduction.srt (2.3 KB)
      • 2. Introduction.mp4 (9.2 MB)
      • 2. Introduction.srt (2.3 KB)
      • 3. Creating Project Notebook.mp4 (140.8 MB)
      • 3. Creating Project Notebook.srt (18.9 KB)
      • 4. Building Django Application.mp4 (72.0 MB)
      • 4. Building Django Application.srt (11.3 KB)
      • 5. Deploying The APP In Heruko.mp4 (79.2 MB)
      • 5. Deploying The APP In Heruko.srt (13.1 KB)
      3. Project-2 Attrition Rate Django Application
      • 1. Introduction.mp4 (9.3 MB)
      • 1. Introduction.srt (2.8 KB)
      • 2. Creating Colab Notebook.mp4 (213.7 MB)
      • 2. Creating Colab Notebook.srt (28.5 KB)
      • 3. Creating Django App.mp4 (85.1 MB)
      • 4. Deploying APP in heruko.mp4 (60.5 MB)
      • 4. Deploying APP in heruko.srt (10.0 KB)
      4. Project 3- Pokemon Django Application
      • 1. Introduction.mp4 (10.3 MB)
      • 1. Introduction.srt (2.9 KB)
      • 2. Creating Colab Notebook.mp4 (177.3 MB)
      • 3. Creating DJango APP.mp4 (108.2 MB)
      • 3. Creating DJango APP.srt (12.8 KB)
      • 4. Deploying APP in heruko.mp4 (62.2 MB)
      5. Project-4 Face Detection Application - Streamlit
      • 1. Introduction.mp4 (11.4 MB)
      • 1. Introduction.srt (3.0 KB)
      • 2. Creating The Face App Using OpenCV.mp4 (103.7 MB)
      • 2. Creating The Face App Using OpenCV.srt (14.9 KB)
      • 3. Creating The Face App -Part2.mp4 (65.7 MB)
      • 3. Creating The Face App -Part2.srt (10.7 KB)
      • 4. Creating The Face App -Part3.mp4 (94.2 MB)
      • 4. Creating The Face App -Part3.srt (13.0 KB)
      6. Project-5 Cats Vs Dogs Classification Flask App
      • 1. Introduction.mp4 (13.2 MB)
      • 1. Introduction.srt (3.3 KB)
      • 2. Creating Project Notebook.mp4 (244.3 MB)
      • 2. Creating Project Notebook.srt (26.8 KB)
      • 3. Building Model.mp4 (74.7 MB)
      • 3. Building Model.srt (8.8 KB)
      • 4. Building Flask App.mp4 (51.9 MB)
      • 4. Building Flask App.srt (7.7 KB)
      7. Project-6 Customer Revenue Prediction App
      • 1. Introduction- Customer Revenue Prediction.mp4 (13.3 MB)
      • 1. Introduction- Customer Revenue Prediction.srt (3.2 KB)
      • 2. Colab Notebook.mp4 (201.8 MB)
      • 2. Colab Notebook.srt (24.0 KB)
      • 3. Creating Flask App.mp4 (118.0 MB)
      • 3. Creating Flask App.srt (15.3 KB)
      • 4. Deploying Flask App.mp4 (66.5 MB)
      • 4. Deploying Flask App.srt (9.3 KB)
      8. Project 7 - Gender From Voice Prediction Application
      • 1. Introduction- Gender From Voice Prediction.mp4 (10.6 MB)
      • 1. Introduction- Gender From Voice Prediction.srt (2.7 KB)
      • 2. Creating Project Notebook.mp4 (243.0 MB)
      • 2. Creating Project Notebook.srt (27.2 KB)
      • 3. Creating Project App Django.mp4 (106.7 MB)
      • 3. Creating Project App Django.srt (13.4 KB)
      • 4. Deploying The App.mp4 (61.1 MB)
      • 4. Deploying The App.srt (9.2 KB)
      9. Project-8 Restaurant Recommendation System
      • 1. Introduction.mp4 (21.3 MB)
      • 1. Introduction.srt (4.5 KB)
      • 2. Creating Colab Notebook.mp4 (116.7 MB)
      • 2. Creating Colab Notebook.srt (14.8 KB)
      • 3. Exploratory Data Analysis-.mp4 (85.4 MB)
      • 3. Exploratory Data Analysis-.srt (10.0 KB)
      • 4. Data Analysis2.mp4 (242.9 MB)
      • 4. Data Analysis2.srt (32.2 KB)
    • Bonus Resources.txt (0.3 KB)

Description

Build & Deploy Data Science Web Application In Cloud

Created by Pianalytix . | Last updated 7/2021
Duration: 8h 29m | 11 sections | 53 lectures | Video: 1280x720, 44 KHz | 3.838 GB
Genre: eLearning | Language: English + Sub
Learn Deployement Of Data Science & Machine Learning Web App With Python & Django In Heruko, Streamlit

What you'll learn
Have a great intuition of many data science models
Make robust data science models
Learn exploratory data analysis
Implement Machine Learning Algorithms
Build machine learning models

Requirements
Knowledge Of Data ScienceKnowledge Of Python
Description
“Data science is the transformation of data using mathematics and statistics into valuable insights, decisions, and products”
As data science evolves and gains new “instruments” over time, the core business goal remains focused on finding useful patterns and yielding valuable insights from data. Today, data science is employed across a broad range of industries and aids in various analytical problems. For example, in marketing, exploring customer age, gender, location, and behavior allows for making highly targeted campaigns, evaluating how much customers are prone to make a purchase or leave. In banking, finding outlying client actions aids in detecting fraud. In healthcare, analyzing patients’ medical records can show the probability of having diseases, etc.
The data science landscape encompasses multiple interconnected fields that leverage different techniques and tools.
There’s a difference between data mining and very popular machine learning. Still, machine learning is about creating algorithms to extract valuable insights, it’s heavily focused on continuous use in dynamically changing environments and emphasizes adjustments, retraining, and updating of algorithms based on previous experiences. The goal of machine learning is to constantly adapt to new data and discover new patterns or rules in it. Sometimes it can be realized without human guidance and explicit reprogramming.
Machine learning is the most dynamically developing field of data science today due to a number of recent theoretical and technological breakthroughs. They led to natural language processing, image recognition, or even the generation of new images, music, and texts by machines. Machine learning remains the main “instrument” of building artificial intelligence.
Who this course is for:Beginners In Data Science

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[ FreeCourseWeb ] Udemy - Build & Deploy Data Science Web Application In Cloud

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3.8 GB
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[ FreeCourseWeb ] Udemy - Build & Deploy Data Science Web Application In Cloud

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