50-Days 50-Projects: Data Science, Machine Learning Bootcamp
50-Days 50-Projects: Data Science, Machine Learning Bootcamp, available at $54.99, has an average rating of 5, with 372 lectures, based on 119 reviews, and has 1684 subscribers.
You will learn about Make robust Machine Learning models 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 Know which Machine Learning model to choose for each type of problem Learn how to program in Python using the latest Python 3 Learn to pre process data, clean data, and analyze large data Learn to use NumPy for Numerical Data Learn to use Pandas for Data Analysis Have a great intuition of many Machine Learning models This course is ideal for individuals who are Anyone who is beginner in data science. It is particularly useful for Anyone who is beginner in data science.
Enroll now: 50-Days 50-Projects: Data Science, Machine Learning Bootcamp
Summary
Title: 50-Days 50-Projects: Data Science, Machine Learning Bootcamp
Price: $54.99
Average Rating: 5
Number of Lectures: 372
Number of Published Lectures: 367
Number of Curriculum Items: 372
Number of Published Curriculum Objects: 367
Original Price: $19.99
Quality Status: approved
Status: Live
What You Will Learn
- Make robust Machine Learning models
- 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
- Know which Machine Learning model to choose for each type of problem
- Learn how to program in Python using the latest Python 3
- Learn to pre process data, clean data, and analyze large data
- Learn to use NumPy for Numerical Data
- Learn to use Pandas for Data Analysis
- Have a great intuition of many Machine Learning models
Who Should Attend
- Anyone who is beginner in data science.
Target Audiences
- Anyone who is beginner in data science.
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).
Data science can be defined as a blend of mathematics, business acumen, tools, algorithms, and machine learning techniques, all of which help us in finding out the hidden insights or patterns from raw data which can be of major use in the formation of big business decisions.
In data science, one deals with both structured and unstructured data. The algorithms also involve predictive analytics. Thus, data science is all about the present and future. That is, finding out the trends based on historical data which can be useful for present decisions, and finding patterns that can be modeled and can be used for predictions to see what things may look like in the future.
Data Science is an amalgamation of Statistics, Tools, and Business knowledge. So, it becomes imperative for a Data Scientist to have good knowledge and understanding of these.
With the amount of data that is being generated and the evolution in the field of Analytics, Data Science has turned out to be a necessity for companies. To make the most out of their data, companies from all domains, be it Finance, Marketing, Retail, IT or Bank. All are looking for Data Scientists. This has led to a huge demand for Data Scientists all over the globe. With the kind of salary that a company has to offer and IBM is declaring it as the trending job of the 21st century, it is a lucrative job for many. This field is such that anyone from any background can make a career as a Data Scientist.
In This Course, We Are Going To Work On 50 Real World Projects Listed Below:
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: Heart Attack Risk Prediction Using Eval ML (Auto ML)
Project-42: Credit Card Fraud Detection Using Pycaret (Auto ML)
Project-43: Flight Fare Prediction Using Auto SK Learn (Auto ML)
Project-44: Petrol Price Forecasting Using Auto Keras
Project-45: Bank Customer Churn Prediction Using H2O Auto ML
Project-46: Air Quality Index Predictor Using TPOT With End-To-End Deployment (Auto ML)
Project-47: Rain Prediction Using ML models & PyCaret With Deployment (Auto ML)
Project-48: Pizza Price Prediction Using ML And EVALML(Auto ML)
Project-49: IPL Cricket Score Prediction Using TPOT (Auto ML)
Project-50: Predicting Bike Rentals Count Using ML And H2O Auto ML
Tip: Create A 50 Days Study Plan, Spend 1-2hrs Per Day, Build 50 Projects In 50 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.
Course Curriculum
Chapter 1: Introduction To The Course
Lecture 1: Introduction To The Course
Lecture 2: Course Outline Video
Lecture 3: Course Bonuses: Cheat Sheets, Downloads, Mind maps, Guides.
Lecture 4: Udemy Feedback
Chapter 2: Project-1: Pan Card Tempering Detector App -Deploy On Heroku
Lecture 1: Introduction To Pan Card Tempering Detector
Lecture 2: Loading libraries and dataset
Lecture 3: Creating the pancard detector with opencv
Lecture 4: Creating the Flask App
Lecture 5: Creating Important functions
Lecture 6: Deploy the app in Heroku
Lecture 7: Testing the deployed pan card detector
Lecture 8: Download The Project Files
Chapter 3: Project-2: Dog breed prediction Flask App
Lecture 1: Introduction to dog breed prediction
Lecture 2: Importing the data and libraries
Lecture 3: Data Preprocessing
Lecture 4: Build and Train Model
Lecture 5: Testing the model
Lecture 6: Creating the Flask App
Lecture 7: Running the app
Lecture 8: Download The Project Files
Chapter 4: Project-3: Image Watermarking App -Deploy On Heroku
Lecture 1: Introduction –Image Watermarking App -Deploy On Heroku
Lecture 2: Importing libraries and logo
Lecture 3: Create text and image watermark
Lecture 4: Creating the app
Lecture 5: Deploying the app in heroku
Lecture 6: Download The Project Files
Chapter 5: Project-4: Traffic sign classification
Lecture 1: Introduction to traffic sign classification
Lecture 2: importing the data and libraries
Lecture 3: Image processing
Lecture 4: creating and testing the model
Lecture 5: Creating model for test set
Lecture 6: Download The Project Files
Chapter 6: Project-5: Text Extraction From Images Application
Lecture 1: Introduction to text extraction
Lecture 2: Importing libraries and data
Lecture 3: Extracting the test from image
Lecture 4: Modifying the extractor
Lecture 5: creating the extractor app
Lecture 6: Running the extractor app
Lecture 7: Download The Project Files
Chapter 7: Project-6: Project On Plant Disease Prediction
Lecture 1: Introduction
Lecture 2: Importing libraries and data
Lecture 3: Understanding the data
Lecture 4: Model building
Lecture 5: Creating an app using streamlit
Lecture 6: Download the project files
Chapter 8: Project-7: Vehicle Detection And Counting
Lecture 1: Introduction
Lecture 2: Importing libraries and data
Lecture 3: Transforming Images and creating output
Lecture 4: Creating A Flask App
Lecture 5: Download the project files
Chapter 9: Project-8: Create A Face Swap Application
Lecture 1: Introduction -Create A Face Swap Application
Lecture 2: Importing libraries and data
Lecture 3: Data preprocessing and creating output
Lecture 4: Creating A Flask App
Lecture 5: Download the project files
Chapter 10: Project-9: Bird Species Prediction Flask App
Lecture 1: Introduction to Bird Species Prediction
Lecture 2: Importing Libraries And Data
Lecture 3: Data processing Bird Species Prediction
Lecture 4: Creating ML Model
Lecture 5: Creating A Flask App
Lecture 6: Download The Project Files
Chapter 11: Project-10: Intel Image Classification Flask App
Lecture 1: Introduction
Lecture 2: Importing and processing data
Lecture 3: Creating a Model
Lecture 4: Creating a Flask App
Lecture 5: Download The Project Files
Chapter 12: Project-11: Language Translator App Using IBM Cloud Service -Deploy On Heroku
Lecture 1: Introduction –Language Translator App Using IBM Cloud Service -Deploy On Heroku
Lecture 2: Setting Service
Lecture 3: Integrating Service
Lecture 4: Coding the UI
Lecture 5: Deployment on Heroku
Lecture 6: Download The Project Files
Chapter 13: Project-12: Predict Views On Advertisement Using IBM Watson -Deploy On Heroku
Lecture 1: Project Overview
Lecture 2: Introduction
Lecture 3: Setting up Watson Studio Part-1
Lecture 4: Setting up Watson Studio Part-2
Lecture 5: Deploying the Model on Deployment Center.
Lecture 6: Integrating Watson Service with UI
Lecture 7: Deployment on Heroku Cloud
Lecture 8: Download The Project Files
Chapter 14: Project-13: Laptop Price Predictor -Deploy On Heroku
Lecture 1: Overview
Lecture 2: EDA Part-1
Lecture 3: EDA Part-2
Lecture 4: EDA Part-3
Lecture 5: EDA Part-4
Lecture 6: EDA Part-5
Instructors
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Pianalytix • 75,000+ Students Worldwide
Projects in Data Science, Machine Learning, Power BI, & More
Rating Distribution
- 1 stars: 5 votes
- 2 stars: 2 votes
- 3 stars: 12 votes
- 4 stars: 27 votes
- 5 stars: 73 votes
Frequently Asked Questions
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