06.09.2021, 01:17
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40 Days Bootcamp: 40 Data Science &Machine Learning Projects
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 247 lectures (29h 22m) | Size: 13.2 GB
Learn To Build & Deploy Machine Learning,Data Science,DL,NLP Web Application Projects (Python,Flask,Django Heruko Cloud)
What you'll learn:
Students Will Understand What Is Machine Learning
Why They Need To Learn Machine Learning
Deployment Of Data Science Applications
Build Data Science Models
Requirements
Knowledge Of Data Science
Description
Why is data science important?
Data science plays an important role in virtually all aspects of business operations and strategies. For example, it provides information about customers that helps companies create stronger marketing campaigns and targeted advertising to increase product sales. It aids in managing financial risks, detecting fraudulent transactions, and preventing equipment breakdowns in manufacturing plants and other industrial settings. It helps block cyber-attacks and other security threats in IT systems.
From an operational standpoint, data science initiatives can optimize the management of supply chains, product inventories, distribution networks, and customer service. On a more fundamental level, they point the way to increased efficiency and reduced costs. Data science also enables companies to create business plans and strategies that are based on informed analysis of customer behavior, market trends, and competition. Without it, businesses may miss opportunities and make flawed decisions.
In This Course, Solve Business Problems Using Data Science Practically. Learn To Build & Deploy Artificial Intelligence, Machine Learning, Data Science, Auto Ml, Deep Learning, Natural Language Processing (NLP) Web Applications Projects With Python (Flask, Django, Heruko, Streamlit Cloud).
How much does a Data Scientist make in the United States?
The national average salary for a Data Scientist is US$1,20,718 per year in the United States, 2.8k salaries reported, updated on July 15, 2021 (source: glassdoor)
Salaries by Company, Role, Average Base Salary in (USD)
Facebook Data Scientist makes US$1,36,000/yr. Analyzed from 1,014 salaries.
Amazon Data Scientist makes US$1,25,704/yr. Analyzed from 307 salaries.
Apple Data Scientist makes US$1,53,885/yr. Analyzed from 147 salaries.
Google Data Scientist makes US$1,48,316/yr. Analyzed from 252 salaries.
Quora, Inc. Data Scientist makes US$1,22,875/yr. Analyzed from 509 salaries.
Oracle Data Scientist makes US$1,48,396/yr. Analyzed from 458 salaries.
IBM Data Scientist makes US$1,32,662/yr. Analyzed from 388 salaries.
Microsoft Data Scientist makes US$1,33,810/yr. Analyzed from 205 salaries.
Walmart Data Scientist makes US$1,08,937/yr. Analyzed 187 salaries.
Cisco Systems Data Scientist makes US$1,57,228/yr. Analyzed from 184 salaries.
Uber Data Scientist makes US$1,43,661/yr. Analyzed from 151 salaries.
Intel Corporation Data Scientist makes US$1,25,930/yr. Analyzed from 131 salaries.
Airbnb Data Scientist makes US$1,80,569/yr. Analyzed from 122 salaries.
Adobe Data Scientist makes US$1,39,074/yr. Analyzed from 109 salaries.
In This Course, We Are Going To Work On 40 Real World Projects Listed Below:
Day-1 : Project-1 Pan Card Tempering Detector App (With Deployment)
Day-2 : Project-2 Dog breed prediction Flask App
Day-3 : Project-3 Image Watermarking App (With Deployment)
Day-4 : Project-4 Traffic sign classification
Day-5 : Project-5 Text Extraction From Images App
Day-6 : Project-6 Plant Disease Prediction App (With Deployment)
Day-7 : Project-7 Counting & Detecting Vehicles Flask App
Day-8 : Project-8 Face Swapping Deep Learning Application
Day-9 : Project-9 Bird Species Prediction App
Day-10 : Project-10 Intel Image Classification App
Day-11 : Project-11 Sentiment Analysis App (With Deployment)
Day-12 : Project-12 Attrition Rate Django App
Day-13 : Project-13 Pokemon Dataset App (With Deployment)
Day-14 : Project-14 Face Detection App Streamlit
Day-15 : Project-15 Cats Vs Dogs Classification App
Day-16 : Project-16 Customer Revenue Prediction App (With Deployment)
Day-17 : Project-17 Gender From Voice Prediction App
Day-18 : Project-18 Restaurant Recommendation System
Day-19 : Project-19 Happiness Ranking App
Day-20 : Project-20 Forest Fire Prediction App
Day-21 : Project-21 Black Friday Sale Prediction
Day-22 : Project-22 Sentiment Analysis Using Natural Language Processing
Day-23 : Project-23 Parkinson Syndrome Prediction
Day-24 : Project-24 Fake News Classifier Using NLP
Day-25 : Project-25 Toxic Comment Classifier Using NLP
Day-26 : Project-26 Movie Ratings Prediction (IMDB) Using NLP
Day-27 : Project-27 Air Quality Prediction
Day-28 : Project-28 Covid-19 Case Analysis
Day-29 : Project-29 Customer Churning Prediction
Day-30 : Project-30 Building A Chatbot Application (NLP)
Day-31 : Project-31: Video Game Sales Prediction App
Day-32 : Project-32: Car Selling Price Prediction App- Deploy On Heruku
Day-33 : Project-33: Affair Prediction App - Deploy On Heruku
Day-34 : Project-34: Mushroom Classification App - Deploy On Heruku
Day-35 : Project-35: Mobile App Rating Prediction Django App - Deploy On Heruku
Day-36 : Project-36: Heart Attack Risk Prediction With Auto ML
Day-37 : Project-37: Credit Card Fraud Detection using PyCaret
Day-38 : Project-38: Flight Fare Detection using Auto SK Learn
Day-39 : Project-39: Petrol Price Forecasting using Auto Keras
Day-40 : Project-40: Bank Customer Churn Prediction using H2O Auto ML
Tip (Not Mandatory): Create A 40 Days Study Plan, Spend 1-2hrs Per Day, Build 40 Projects In 40 Days.
The Only Course With 40 Real World Projects In Data Science Domain.
Note (Read This): This Course Is Worth Of Your Time And Money, Enroll Now Before Offer Expires.
Who this course is for
Beginners In Data Science
Homepage
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