What you would learn in Ultimate Data Science Bootcamp: Build 50 Real-Time Projects course?
In this course, Learn to solve business problems using Data Science Practically. Learn How to Develop and Deploy Machine Learning, Data Science, Artificial Intelligence, Auto Ml, Deep Learning, Natural Language Processing (Nlp) Web Applications Projects using Python (Flask, Django, Heroku, AWS, Azure, GCP, IBM Watson, Streamlight Cloud).
Data science is defined as a mix of math and business acumen tools, algorithms, and machine-learning techniques that all aid us in discovering patterns or hidden information in the data that can be extremely useful in making large-scale business decisions.
In the field of data science, there is unstructured as well as structured data. The algorithms also include predictive analytics. Therefore, data science is about the future and present. It is about determining the trends based on historical data that could help make current decisions and identify trends that are modeled and used to make forecasts to determine what things could take on in the future.
Data Science is an amalgamation of Statistics, Tools, and business information. Therefore, Data Scientists Data Scientist needs to possess a good understanding and knowledge of these.
With the volume of data being created and the advancement within Analytics, Data Science has been an essential requirement for businesses. To get the most value out of their data, organizations in all fields include Finance, Marketing, finance, retail, IT, or banking. Every industry is looking for Data Scientists. This has resulted in an enormous need for Data Scientists all over the world. With the type of pay that businesses have to provide and that IBM declares it to be the most sought-after job for the 21st Century, it's a highly lucrative career for many. The field of Data Science is one in which anybody with any background can pursue a career as an Information Scientist.
In this course, We're Working 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 Classification of traffic signs
Project 5 Text Extraction From Images Application
Project-6 Plant Disease Prediction Streamlit App
Project-7: Vehicle Detection and Counting Flask app
Project-8: Design The Face Swapping Flask Application
Project 9 Flask for Bird Species Prediction 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 Advertisements Utilizing 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 Classification of Book Genres App Deploy on Amazon Web Services
Project-21 Evaluation of Sentiment Django App -Deploy on Heroku
Project-22: Attrition Rate Django Application
Project-23 Find the most 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: Female from Voice Prediction App-Deployment On Heroku
Project-28: Restaurant Recommendation System
Project-29: Happiness Rating Django App -Deploy on Heroku
Project-30 Forest Fire Prediction Django App -Deploy on Heroku
Project-31 to build a Prediction of Car Prices App - Deploy on Heroku
Project-32 Build Affair to Count Django App - Deploy on Heroku
Project-33 Create a Shrooming Predictions App. Heroku
Project 34: Prediction of Google Play's App's Rating Using Deployment on Heroku
Project-35 Create Bank Customer Predictions Django App -Deploy on Heroku
Project-36 Create the Artist Sculpture Cost Estimation Django App - Deploy on Heroku
Project-37: Create Health Cost Forecasts Django App. -Deploy on Heroku
Project-38 Phishing Webpages Classification Django App - Deploy On Heroku
Project-39: clothing fit-sizing prediction Django App -Deploy on Heroku
Project-40: Create Similarity In-Text Django App-Deploy On Heroku
Project-41 Heart Attack Risk Prediction Based on the Eval Machine Learning (Auto ML)
Project 42: Credit Card Fraud Detection using Pycaret (Auto ML)
Project-43 Prediction of Flight Fares using Automatic SK learn (Auto Learning)
Project 44: Petrol Cost Forecasting with Auto Keras
Project-45: Prediction of Bank Customer Churn by using H2O Auto-ML
Project-46 Air Quality Index Predictor Utilizing TPOT with End-to-End deployment (Auto ML)
Project-47 Rain Prediction Using PyCaret with ML models and deployment (Auto ML)
Project-48: Pizza Price Prediction Using ML And EVALML(Auto ML)
Project 49: IPL Cricket Score Prediction by the TPOT (Auto Machine Learning)
Project-50 Predicting the Bike Rental Count using ML and H2O Auto-ML
Content of the Course:
Know the entire process to understand the whole machine learning lifecycle.
Develop regression machine learning algorithms to forecast constant values.
A collection consisting of Data Science and Machine Learning projects can be used to apply for jobs in the field, complete with notebooks and code included.
Learn the best methods for dealing with real-world data sets.
Develop machine learning algorithms that are supervised to predict class.
Learn how to utilize Pandas to aid in Data Analysis.
Choose the suitable Machine Learning model to choose for the specific type of problem.
Master data science with the help of 50 projects
Develop machine learning algorithms with supervised supervision to help predict classes.
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