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

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

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!