Course overview
- Provider
- Udemy
- Course type
- Paid course
- Level
- Beginner
- Duration
- 103 hours
- Lessons
- 706 lessons
- Certificate
- Available on completion
- Course author
- Pianalytix .
-
- Understand the full product workflow for the machine learning lifecycle.
- Real life case studies and projects to understand how things are done in the real world
- Learn best practices when it comes to Data Science Workflow
- Master Machine Learning, Data Science, Deep Learning With Python Practically
- Have a great intuition of many Machine Learning models
- Build a portfolio of work to have on your resume
- Have a fundamental understanding of the Python programming language.
- Introduction to the python programming, List Comprehension in Python programming, Variables and data types in python programming
Description
In This Course, Solve Business Problems Using Data Science Practically. Learn To Build & Deploy Machine Learning, Data Science, Artificial Intelligence, Auto Ml, Deep Learning, Natural Language Processing (Nlp) Web Applications Projects With Python (Flask, Django, Heroku, AWS, Azure, GCP, IBM Watson, Streamlit Cloud).
We'll Cover Everything You Need To Know For The Full Data Science And Machine Learning Tech Stack Required At The World's Top Companies. Our Students Have Gotten Jobs At Dell, Google Developers, Tcs, Wipro And Other Top Tech Companies! We've Structured The Course Using Our Experience Teaching Both Online And In-Person To Deliver A Clear And Structured Approach That Will Guide You Through Understanding Not Just How To Use Data Science And Machine Learning Libraries, But Why We Use Them. This Course Is Balanced Between Practical Real World Case Studies And Mathematical Theory Behind The Machine Learning Algorithms.
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.
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.
Intel Corporation Data Scientist Makes Us$1,25,930/Yr. Analyzed From 131 Salaries.
In This Course, We Are Going To Work On 90 Real-World Projects (60 Data Science Projects, 30 Python Development Projects) Listed Below:
60 Data Science, Machine Learning Projects ------Starts Here--------
Project-1: Pan Card Tempering Detector App -Deploy On Heroku
Project-2: Dog breed prediction Flask App
Project-3: Image Watermarking App -Deploy On Heroku
Project-4: Traffic sign classification
Project-5: Text Extraction From Images Application
Project-6: Plant Disease Prediction Streamlit App
Project-7: Vehicle Detection And Counting Flask App
Project-8: Create A Face Swapping Flask App
Project-9: Bird Species Prediction Flask App
Project-10: Intel Image Classification Flask App
Project-11: Language Translator App Using IBM Cloud Service -Deploy On Heroku
Project-12: Predict Views On Advertisement Using IBM Watson -Deploy On Heroku
Project-13: Laptop Price Predictor -Deploy On Heroku
Project-14: WhatsApp Text Analyzer -Deploy On Heroku
Project-15: Course Recommendation System -Deploy On Heroku
Project-16: IPL Match Win Predictor -Deploy On Heroku
Project-17: Body Fat Estimator App -Deploy On Microsoft Azure
Project-18: Campus Placement Predictor App -Deploy On Microsoft Azure
Project-19: Car Acceptability Predictor -Deploy On Google Cloud
Project-20: Book Genre Classification App -Deploy On Amazon Web Services
Project-21: Sentiment Analysis Django App -Deploy On Heroku
Project-22: Attrition Rate Django Application
Project-23: Find Legendary Pokemon Django App -Deploy On Heroku
Project-24: Face Detection Streamlit App
Project-25: Cats Vs Dogs Classification Flask App
Project-26: Customer Revenue Prediction App -Deploy On Heroku
Project-27: Gender From Voice Prediction App -Deploy On Heroku
Project-28: Restaurant Recommendation System
Project-29: Happiness Ranking Django App -Deploy On Heroku
Project-30: Forest Fire Prediction Django App -Deploy On Heroku
Project-31: Build Car Prices Prediction App -Deploy On Heroku
Project-32: Build Affair Count Django App -Deploy On Heroku
Project-33: Build Shrooming Predictions App -Deploy On Heroku
Project-34: Google Play App Rating prediction With Deployment On Heroku
Project-35: Build Bank Customers Predictions Django App -Deploy On Heroku
Project-36: Build Artist Sculpture Cost Prediction Django App -Deploy On Heroku
Project-37: Build Medical Cost Predictions Django App -Deploy On Heroku
Project-38: Phishing Webpages Classification Django App -Deploy On Heroku
Project-39: Clothing Fit-Size predictions Django App -Deploy On Heroku
Project-40: Build Similarity In-Text Django App -Deploy On Heroku
Project-41: Black Friday Sale Project
Project-42: Sentiment Analysis Project
Project-43: Parkinson’s Disease Prediction Project
Project-44: Fake News Classifier Project
Project-45: Toxic Comment Classifier Project
Project-46: Heart Attack Risk Prediction Using Eval ML (Auto ML)
Project-47: Credit Card Fraud Detection Using Pycaret (Auto ML)
Project-48: Flight Fare Prediction Using Auto SK Learn (Auto ML)
Project-49: Petrol Price Forecasting Using Auto Keras
Project-50: Bank Customer Churn Prediction Using H2O Auto ML
Project-51: Air Quality Index Predictor Using TPOT With End-To-End Deployment (Auto ML)
Project-52: Rain Prediction Using ML models & PyCaret With Deployment (Auto ML)
Project-53: Pizza Price Prediction Using ML And EVALML(Auto ML)
Project-54: IPL Cricket Score Prediction Using TPOT (Auto ML)
Project-55: Predicting Bike Rentals Count Using ML And H2O Auto ML
Project-56: Concrete Compressive Strength Prediction Using Auto Keras (Auto ML)
Project-57: Bangalore House Price Prediction Using Auto SK Learn (Auto ML)
Project-58: Hospital Mortality Prediction Using PyCaret (Auto ML)
Project-59: Employee Evaluation For Promotion Using ML And Eval Auto ML
Project-60: Drinking Water Potability Prediction Using ML And H2O Auto ML
30 Python Development Projects ---- Starts Here----
Project-61: Image Editor Application With OpenCV And Tkinter
Project-62: Brand Identification Game With Tkinter And Sqlite3
Project-63: Transaction Application With Tkinter And Sqlite3
Project-64: Learning Management System With Django
Project-65: Create A News Portal With Django
Project-66 : Create A Student Portal With Django
Project-67 : Productivity Tracker With Django And Plotly
Project-68 : Create A Study Group With Django
Project-69 : Building Crop Guide Application with PyQt5, SQLite
Project-70 : Building Password Manager Application With PyQt5, SQLite
Project-71 : Create A News Application With Python
Project-72 : Create A Guide Application With Python
Project-73: Building The Chef Web Application with Django, Python
Project-74 : Syllogism-Rules of Inference Solver Web Application
Project-75 : Building Vision Web Application with Django, Python
Project-76 : Building Budget Planner Application With Python
Project-77 : Tic Tac Toe Game
Project-78 : Random Password Generator Website using Django
Project-79 : Building Personal Portfolio Website Using Django
Project-80 : Todo List Website For Multiple Users
Project-81 : Crypto Coin Planner Gui Application
Project-82 : Your Own Twitter Bot -python, request, API, deployment, tweepy
Project-83 : Create A Python Dictionary Using python, Tkinter, JSON
Project-84 : Egg-Catcher Game using python
Project-85 : Personal Routine Tracker Application using python
Project-86 : Building Screen -Pet using Tkinter & Canvas
Project-87 : Building Caterpillar Game Using Turtle and Python
Project-88 : Building Hangman Game Using Python
Project-89 : Developing our own Smart Calculator Using Python and Tkinter
Project-90 : Image based steganography Using Python and pillows
Tip: Create A 90 Days Study Plan, Spend 1-2hrs Per Day, Build 90 Projects In 90 Days.
The Only Course You Need To Become A Data Scientist, Get Hired And Start A New Career
Note (Read This): This Course Is Worth Of Your Time And Money, Enroll Now Before Offer Expires.
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