What you would learn in 100 Days Data Science Bootcamp: Build 100 Real Life Projects course?
In this course, You will be able to solve business issues using Data Science Practically. Learn 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, Streamlit Cloud).
According to Glassdoor, the median salary for Data Scientists according to Glassdoor is $117,345/year. Data Scientist is $117,345/yr. This is higher than the average for the nation of $44,564. So Data Scientists earn 163% more than the national average. Data Scientist makes 163% more than the average national salary.
This means that Data Science is a highly lucrative choice for a career. It's partly due to the shortage of Data Scientists resulting in an enormous income boom.
Because Data Science requires a person to be knowledgeable and proficient in various fields such as Statistics, Mathematics, and Computer Science, the learning curve is extremely steep. Thus, the importance of the skills of a Data Scientist is very high on the market.
A Data Scientist enjoys a position of esteem within the organization. The company relies on its skills to make decisions based on data and steer in the correct direction.
In addition, the function of the role of a Data Scientist depends on the specifics of the employer's business. For instance, a commercial industry requires the services of a data scientist to analyze its sales.
Healthcare companies will need data scientists to assist them in analyzing genomic sequences. Data scientists' data scientist's pay depends on his duties and the kind of work he must complete. It is also influenced by the size of the organization determined by the volume of data they use.
However, data scientists' pay is far higher than other management and IT sectors. However, the pay received by Data Scientists is proportional to the amount of work they put in. Data Science needs hard work and requires one to be diligent with their abilities.
Because of the numerous perks, Data Science is an appealing field. This, along with the numerous vacancies for vacancies in Data Science, makes it an unexplored mining goldmine. Thus, it is imperative to study Data Science to succeed in your career.
In This Course, We Are Going To Work On 100 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