Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Language
English
Taught by
Pianalytix • 75,000+ Students Worldwide
Certificate
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
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Course Overview
Learn To Build & Deploy AI, ML, DS, Deep Learning, NLP Web Apps With Python Projects Course(Flask, Django, Heruko Cloud)
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 USD 1,36,000/yr. Analyzed from 1,014 salaries.
Amazon Data Scientist makes USD 1,25,704/yr. Analyzed from 307 salaries.
Apple Data Scientist makes USD 1,53,885/yr. Analyzed from 147 salaries.
Google Data Scientist makes USD 1,48,316/yr. Analyzed from 252 salaries.
Quora, Inc. Data Scientist makes USD 1,22,875/yr. Analyzed from 509 salaries.
Oracle Data Scientist makes USD 1,48,396/yr. Analyzed from 458 salaries.
IBM Data Scientist makes USD 1,32,662/yr. Analyzed from 388 salaries.
Microsoft Data Scientist makes USD 1,33,810/yr. Analyzed from 205 salaries.
Walmart Data Scientist makes USD 1,08,937/yr. Analyzed 187 salaries.
Cisco Systems Data Scientist makes USD 1,57,228/yr. Analyzed from 184 salaries.
Uber Data Scientist makes USD 1,43,661/yr. Analyzed from 151 salaries.
Intel Corporation Data Scientist makes USD 1,25,930/yr. Analyzed from 131 salaries.
Airbnb Data Scientist makes USD 1,80,569/yr. Analyzed from 122 salaries.
Adobe Data Scientist makes USD 1,39,074/yr. Analyzed from 109 salaries.
In This Course, We Are Going To Work On 40 Real World Projects Listed Below:
Project-1 Pan Card Tempering Detector App (With Deployment)
Project-2 Dog breed prediction Flask App
Project-3 Image Watermarking App (With Deployment)
Project-4 Traffic sign classification
Project-5 Text Extraction From Images App
Project-6 Plant Disease Prediction App (With Deployment)
Project-7 Counting & Detecting Vehicles Flask App
Project-8 Face Swapping Deep Learning Application
Project-9 Bird Species Prediction App
Project-10 Intel Image Classification App
Project-11 Sentiment Analysis App (With Deployment)
Project-12 Attrition Rate Django App
Project-13 Pokemon Dataset App (With Deployment)
Project-14 Face Detection App Streamlit
Project-15 Cats Vs Dogs Classification App
Project-16 Customer Revenue Prediction App (With Deployment)
Project-17 Gender From Voice Prediction App
Project-18 Restaurant Recommendation System
Project-19 Happiness Ranking App
Project-20 Forest Fire Prediction App
Project-21 Black Friday Sale Prediction
Project-22 Sentiment Analysis Using Natural Language Processing
Project-23 Parkinson Syndrome Prediction
Project-24 Fake News Classifier Using NLP
Project-25 Toxic Comment Classifier Using NLP
Project-26 Movie Ratings Prediction (IMDB) Using NLP
Project-27 Air Quality Prediction
Project-28 Covid-19 Case Analysis
Project-29 Customer Churning Prediction
Project-30 Building A Chatbot Application (NLP)
Project-31: Video Game Sales Prediction App
Project-32: Car Selling Price Prediction App- Deploy On Heruku
Project-33: Affair Prediction App - Deploy On Heruku
Project-34: Mushroom Classification App - Deploy On Heruku
Project-35: Mobile App Rating Prediction Django App - Deploy On Heruku
Project-36: Heart Attack Risk Prediction With Auto ML
Project-37: Credit Card Fraud Detection using PyCaret
Project-38: Flight Fare Detection using Auto SK Learn
Project-39: Petrol Price Forecasting using Auto Keras
Project-40: Bank Customer Churn Prediction using H2O Auto ML
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.
Course Content
- 41 section(s)
- 250 lecture(s)
- Section 1 Introduction To The Course
- Section 2 Project-1 Pan Card Tempering Detector App (With Deployment)
- Section 3 Project-2 Dog breed prediction Flask App
- Section 4 Project-3 Image Watermarking App (With Deployment)
- Section 5 Project-4 Traffic sign classification
- Section 6 Project-5 Text Extraction From Images App
- Section 7 Project-6 Plant Disease Prediction App (With Deployment)
- Section 8 Project-7 Counting & Detecting Vehicles Flask App
- Section 9 Project-8 Face Swapping Deep Learning Application
- Section 10 Project-9 Bird Species Prediction App
- Section 11 Project-10 Intel Image Classification App
- Section 12 Project-11 Sentiment Analysis App (With Deployment)
- Section 13 Project-12 Attrition Rate Django App
- Section 14 Project-13 Pokemon Dataset App (With Deployment)
- Section 15 Project-14 Face Detection App Streamlit
- Section 16 Project-15 Cats Vs Dogs Classification App
- Section 17 Project-16 Customer Revenue Prediction App (With Deployment)
- Section 18 Project-17 Gender From Voice Prediction App
- Section 19 Project-18 Restaurant Recommendation System
- Section 20 Project-19 Happiness Ranking App
- Section 21 Project-20 Forest Fire Prediction App
- Section 22 Project-21 Black Friday Sale Prediction
- Section 23 Project-22 Sentiment Analysis Using Natural Language Processing
- Section 24 Project-23 Parkinson Syndrome Prediction
- Section 25 Project-24 Fake News Classifier Using NLP
- Section 26 Project-25 Toxic Comment Classifier Using NLP
- Section 27 Project-26 Movie Ratings Prediction (IMDB) Using NLP
- Section 28 Project-27 Air Quality Prediction
- Section 29 Project-28 Covid-19 Case Analysis
- Section 30 Project-29 Customer Churning Prediction
- Section 31 Project-30 Building A Chatbot Application (NLP)
- Section 32 Project-31: Video Game Sales Prediction Using Machine Learning
- Section 33 Project-32: Car Selling Price Prediction - Deploy On Heruko
- Section 34 Project-33: Affair Prediction App & Deploy On Heruko
- Section 35 Project-34: Create Mushroom Classification App & Deploy On Heruko
- Section 36 Project-35: Mobile App Rating Prediction Django App- Deploy On Heruko
- Section 37 Project-36: Heart Attack Risk Prediction With Auto ML
- Section 38 Project-37: Credit Card Fraud Detection using PyCaret
- Section 39 Project-38: Flight Fare Detection using Auto SK Learn
- Section 40 Project-39: Petrol Price Forecasting using Auto Keras
- Section 41 Project-40: Bank Customer Churn Prediction using H2O Auto ML
What You’ll Learn
- Students Will Understand What Is Machine Learning
- Why They Need To Learn Machine Learning
- Difference Between Machine Learning, Deep Learning, Artificial Intelligence
- What Are The Applications Of Machine Learning
Reviews
-
TThomas Rivera
The value is undeniable.
-
AAshika Singh
good
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HHenry Mwewa phiri
The video is fine except the present is a little fast. I am of the vie that it would have been even better if the present took some time to explain the steps
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AAnirudh
Good flow-through explanation of the content. Very useful.
