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Build 75 Powerful Data Science & Machine Learning Projects

Build & Deploy Data Science, Machine Learning, Deep Learning (Python, Flask, Django, AWS, Azure, GCP, Heruko Cloud)

4.43 / 5.0
1768 students73 hours 37 minutes

Created by Pianalytix ., offered on Udemy

bestcourses score™

Student feedback

5.1/10

To make sure that we score courses properly, we pay a lot of attention to the reviews students leave on courses and how many students are taking a course in the first place. This course has a total of 1768 students which left 61 reviews at an average rating of 4.43, which is average.

Course length

8.3/10

We analyze course length to see if courses cover all important aspects of a topic, taking into account how long the course is compared to the category average. This course has a length of 73 hours 37 minutes, which is pretty short. This might not be a bad thing, but we've found that longer courses are often more detailed & comprehensive. The average course length for this entire category is 7 hours 54 minutes.

Overall score

5.9/10

This course currently has a bestcourses score of 5.9/10, which makes it an average course. Overall, there are probably better courses available for this topic on our platform.

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).


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 75 Real World Data Science, Machine Learning 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 Deep Learning for finding E.Coli -AWS - 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 - AWS - Deploy On AWS

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

Project 25 : Correcting wrong spellings (correct spelling prediction) - Deploy On Azure

Project 26 : Music popularity classififcation - 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 : Sonic wave velocity prediction using Signal Processing Techniques

Project-52 : Estimation of Pore Pressure using Machine Learning

Project-53 : Audio processing using ML

Project-54 : Text characterisation using Speech recognition

Project-55 : Audio classification using Neural networks

Project-56 : Developing a voice assistant

Project-57 : Customer segmentation

Project-58 : FIFA 2019 Analysis

Project-59 : Sentiment analysis of web scrapped data

Project-60 : Determing Red Vine Quality


Project-61: Heart Attack Risk Prediction Using Eval ML (Auto ML)

Project-62: Credit Card Fraud Detection Using Pycaret (Auto ML)

Project-63: Flight Fare Prediction Using Auto SK Learn (Auto ML)

Project-64: Petrol Price Forecasting Using Auto Keras

Project-65: Bank Customer Churn Prediction Using H2O Auto ML

Project-66: Air Quality Index Predictor Using TPOT With End-To-End Deployment (Auto ML)

Project-67: Rain Prediction Using ML models & PyCaret With Deployment (Auto ML)

Project-68: Pizza Price Prediction Using ML And EVALML(Auto ML)

Project-69: IPL Cricket Score Prediction Using TPOT (Auto ML)

Project-70: Predicting Bike Rentals Count Using ML And H2O Auto ML


Project-71: Concrete Compressive Strength Prediction Using Auto Keras (Auto ML)

Project-72: Bangalore House Price Prediction Using Auto SK Learn (Auto ML)

Project-73: Hospital Mortality Prediction Using PyCaret (Auto ML)

Project-74: Employee Evaluation For Promotion Using ML And Eval Auto ML

Project-75: Drinking Water Potability Prediction Using ML And H2O Auto ML


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.

What you will learn

  • Understand the full product workflow for the machine learning lifecycle.
  • Implement Machine Learning Algorithms, Learn how to improve your Machine Learning Models
  • Real life case studies and projects to understand how things are done in the real world
  • Make robust Machine Learning models, Master Machine Learning on Python
  • Explore how to deploy your machine learning models.
  • Clean your input data to remove outliers
  • Know which Machine Learning model to choose for each type of problem
  • Build a portfolio of work to have on your resume

Requirements

  • Basic knowledge of machine learning
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Frequently asked questions

  • Price: $19.99
  • Platform: Udemy
  • Language: English
  • 73 hours 37 minutes
Build 75 Powerful Data Science & Machine Learning Projects thumbnail

bestcourses score: 5.9/10

There might be better courses available for this topic.