Data Science Mega-Course- #Build {120-Projects In 120-Days}

Data Science Mega-Course: #Build {120-Projects In 120-Days}, available at $64.99, has an average rating of 3.79, with 805 lectures, based on 376 reviews, and has 5684 subscribers.

You will learn about Make powerful analysis, Make robust Machine Learning models Master Machine Learning on Python Know which Machine Learning model to choose for each type of problem Implement Machine Learning Algorithms Explore how to deploy your machine learning models. Understand the full product workflow for the machine learning lifecycle. Present Data Science projects to management Real life case studies and projects to understand how things are done in the real world Build a portfolio of work to have on your resume This course is ideal for individuals who are Beginners in data science It is particularly useful for Beginners in data science.

Enroll now: Data Science Mega-Course: #Build {120-Projects In 120-Days}

Summary

Title: Data Science Mega-Course: #Build {120-Projects In 120-Days}

Price: $64.99

Average Rating: 3.79

Number of Lectures: 805

Number of Published Lectures: 800

Number of Curriculum Items: 805

Number of Published Curriculum Objects: 800

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Make powerful analysis, Make robust Machine Learning models

Master Machine Learning on Python

Know which Machine Learning model to choose for each type of problem

Implement Machine Learning Algorithms

Explore how to deploy your machine learning models.

Understand the full product workflow for the machine learning lifecycle.

Present Data Science projects to management

Real life case studies and projects to understand how things are done in the real world

Build a portfolio of work to have on your resume

Who Should Attend

Beginners in data science

Target Audiences

Beginners 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).

According to Glassdoor, the average salary for a Data Scientist is $117,345/yr. This is above the national average of $44,564. Therefore, a Data Scientist makes 163% more than the national average salary.

This makes Data Science a highly lucrative career choice. It is mainly due to the dearth of Data Scientists resulting in a huge income bubble.

Since Data Science requires a person to be proficient and knowledgeable in several fields like Statistics, Mathematics, and Computer Science, the learning curve is quite steep. Therefore, the value of a Data Scientist is very high in the market.

A Data Scientist enjoys a position of prestige in the company. The company relies on its expertise to make data-driven decisions and enable them to navigate in the right direction.

Furthermore, the role of a Data Scientist depends on the specialization of his employer company. For example – A commercial industry will require a data scientist to analyze their sales.

A healthcare company will require data scientists to help them analyze genomic sequences. The salary of a Data Scientist depends on his role and type of work he has to perform. It also depends on the size of the company which is based on the amount of data they utilize.

Still, the pay scale of Data scientists is way above other IT and management sectors. However, the salary observed by Data Scientists is proportional to the amount of work that they must put in. Data Science needs hard work and requires a person to be thorough with his/her skills.

Due to several lucrative perks, Data Science is an attractive field. This, combined with the number of vacancies in Data Science makes it an untouched gold mine. Therefore, you should learn Data Science in order to enjoy a fruitful career.

In This Course, We Are Going To Work On 120 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 : DNA classification for finding E.Coli – Deploy On AWS

Project 22 : Predict the next word in a sentence. – AWS – Deploy On AWS

Project 23 : Predict Next Sequence of numbers using LSTM – Deploy On AWS

Project 24 : Keyword Extraction from text using NLP – Deploy On Azure

Project 25 : Correcting wrong spellings – Deploy On Azure

Project 26 : Music popularity classification – Deploy On Google App Engine

Project 27 : Advertisement Classification – Deploy On Google App Engine

Project 28 : Image Digit Classification – Deploy On AWS

Project 29 : Emotion Recognition using Neural Network – Deploy On AWS

Project 30 : Breast cancer Classification – Deploy On AWS

Project-31: Sentiment Analysis Django App -Deploy On Heroku

Project-32: Attrition Rate Django Application

Project-33: Find Legendary Pokemon Django App -Deploy On Heroku

Project-34: Face Detection Streamlit App

Project-35: Cats Vs Dogs Classification Flask App

Project-36: Customer Revenue Prediction App -Deploy On Heroku

Project-37: Gender From Voice Prediction App -Deploy On Heroku

Project-38: Restaurant Recommendation System

Project-39: Happiness Ranking Django App -Deploy On Heroku

Project-40: Forest Fire Prediction Django App -Deploy On Heroku

Project-41: Build Car Prices Prediction App -Deploy On Heroku

Project-42: Build Affair Count Django App -Deploy On Heroku

Project-43: Build Shrooming Predictions App -Deploy On Heroku

Project-44: Google Play App Rating prediction With Deployment On Heroku

Project-45: Build Bank Customers Predictions Django App -Deploy On Heroku

Project-46: Build Artist Sculpture Cost Prediction Django App -Deploy On Heroku

Project-47: Build Medical Cost Predictions Django App -Deploy On Heroku

Project-48: Phishing Webpages Classification Django App -Deploy On Heroku

Project-49: Clothing Fit-Size predictions Django App -Deploy On Heroku

Project-50: Build Similarity In-Text Django App -Deploy On Heroku

Project-51: Black Friday Sale Project

Project-52: Sentiment Analysis Project

Project-53: Parkinson’s Disease Prediction Project

Project-54: Fake News Classifier Project

Project-55: Toxic Comment Classifier Project

Project-56: IMDB Movie Ratings Prediction

Project-57: Indian Air Quality Prediction

Project-58: Covid-19 Case Analysis

Project-59: Customer Churning Prediction

Project-60: Create A ChatBot

Project-61: Video Game sales Analysis

Project-62: Zomato Restaurant Analysis

Project-63: Walmart Sales Forecasting

Project-64 : Sonic wave velocity prediction using Signal Processing Techniques

Project-65 : Estimation of Pore Pressure using Machine Learning

Project-66 : Audio processing using ML

Project-67 : Text characterisation using Speech recognition

Project-68 : Audio classification using Neural networks

Project-69 : Developing a voice assistant

Project-70 : Customer segmentation

Project-71 : FIFA 2019 Analysis

Project-72 : Sentiment analysis of web scrapped data

Project-73 : Determining Red Vine Quality

Project-74 : Customer Personality Analysis

Project-75 : Literacy Analysis in India

Project-76: Heart Attack Risk Prediction Using Eval ML (Auto ML)

Project-77: Credit Card Fraud Detection Using Pycaret (Auto ML)

Project-78: Flight Fare Prediction Using Auto SK Learn (Auto ML)

Project-79: Petrol Price Forecasting Using Auto Keras

Project-80: Bank Customer Churn Prediction Using H2O Auto ML

Project-81: Air Quality Index Predictor Using TPOT With End-To-End Deployment (Auto ML)

Project-82: Rain Prediction Using ML models & PyCaret With Deployment (Auto ML)

Project-83: Pizza Price Prediction Using ML And EVALML(Auto ML)

Project-84: IPL Cricket Score Prediction Using TPOT (Auto ML)

Project-85: Predicting Bike Rentals Count Using ML And H2O Auto ML

Project-86: Concrete Compressive Strength Prediction Using Auto Keras (Auto ML)

Project-87: Bangalore House Price Prediction Using Auto SK Learn (Auto ML)

Project-88: Hospital Mortality Prediction Using PyCaret (Auto ML)

Project-89: Employee Evaluation For Promotion Using ML And Eval Auto ML

Project-90: Drinking Water Potability Prediction Using ML And H2O Auto ML

Project-91: Image Editor Application With OpenCV And Tkinter

Project-92: Brand Identification Game With Tkinter And Sqlite3

Project-93: Transaction Application With Tkinter And Sqlite3

Project-94: Learning Management System With Django

Project-95: Create A News Portal With Django

Project-96: Create A Student Portal With Django

Project-97: Productivity Tracker With Django And Plotly

Project-98: Create A Study Group With Django

Project-99: Building Crop Guide Application with PyQt5, SQLite

Project-100: Building Password Manager Application With PyQt5, SQLite

Project-101: Create A News Application With Python

Project-102: Create A Guide Application With Python

Project-103: Building The Chef Web Application with Django, Python

Project-104: Syllogism-Rules of Inference Solver Web Application

Project-105: Building Vision Web Application with Django, Python

Project-106: Building Budget Planner Application With Python

Project-107: Build Tic Tac Toe Game

Project-108: Random Password Generator Website using Django

Project-109: Building Personal Portfolio Website Using Django

Project-110: Todo List Website For Multiple Users

Project-111: Crypto Coin Planner GUI Application

Project-112: Your Own Twitter Bot -python, request, API, deployment, tweepy

Project-113: Create A Python Dictionary Using python, Tkinter, JSON

Project-114: Egg-Catcher Game using python

Project-115: Personal Routine Tracker Application using python

Project-116: Building Screen -Pet using Tkinter & Canvas

Project-117: Building Caterpillar Game Using Turtle and Python

Project-118: Building Hangman Game Using Python

Project-119: Developing our own Smart Calculator Using Python and Tkinter

Project-120: Image-based steganography Using Python and pillows

Tip: Create A 60 Days Study Plan Or 120 Day Study Plan, Spend 1-3hrs Per Day, Build 120 Projects In 60 Days Or  120 Projects In 120 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: Course Introduction

Lecture 2: Course Outline Video

Lecture 3: Course Bonuses: Cheat Sheets, Downloads, Mind maps, Guides.

Lecture 4: Udemy Course Feedback Info

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 in system

Lecture 8: Download The Project Files

Chapter 4: Project-3: Image Watermarking App -Deploy On Heroku

Lecture 1: Introduction Image Watermarking

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: Modifiying the extractor

Lecture 5: creating the extractor app

Lecture 6: Running the extractor app

Lecture 7: Download The Project Files

Chapter 7: Project-6: Plant Disease Prediction

Lecture 1: Introduction

Lecture 2: Importing libraries and data

Lecture 3: Understanding the data and data preprocessing

Lecture 4: Model building

Lecture 5: Creating an app using streamlit

Lecture 6: Download the project files

Chapter 8: Project-7: Detect and count vehicles

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 Swapping Flask App

Lecture 1: Intro to Face Swap

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: Improting Libraries And Data

Lecture 3: Data processing

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 to Intel Image Classification

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

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: 32 votes

2 stars: 9 votes

3 stars: 39 votes

4 stars: 70 votes

5 stars: 226 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!