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
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You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
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