Project-16: IPL Match Win Predictor -Deploy On Heroku Project-15: Course Recommendation System -Deploy On Heroku Project-14: WhatsApp Text Analyzer -Deploy On Heroku Project-13: Laptop Price Predictor -Deploy On Heroku Project-12: Predict Views On Advertisement Using IBM Watson -Deploy On Heroku

Project-11: Language Translator App Using IBM Cloud Service -Deploy On Heroku Project-10: Intel Image Classification Flask App Project-9: Bird Species Prediction Flask App Project-8: Create A Face Swapping Flask App Project-7: Vehicle Detection And Counting Flask App Project-6: Plant Disease Prediction Streamlit App Project-5: Text Extraction From Images Application Project-3: Image Watermarking App -Deploy On Heroku Project-2: Dog breed prediction Flask App Project-1: Pan Card Tempering Detector App -Deploy On Heroku In This Course, We Are Going To Work On 50 Real World Projects Listed Below: This field is such that anyone from any background can make a career as a Data Scientist. With the kind of salary that a company has to offer and IBM is declaring it as the trending job of the 21st century, it is a lucrative job for many. This has led to a huge demand for Data Scientists all over the globe. To make the most out of their data, companies from all domains, be it Finance, Marketing, Retail, IT or Bank. With the amount of data that is being generated and the evolution in the field of Analytics, Data Science has turned out to be a necessity for companies.

So, it becomes imperative for a Data Scientist to have good knowledge and understanding of these. That is, finding out the trends based on historical data which can be useful for present decisions, and finding patterns that can be modeled and can be used for predictions to see what things may look like in the future.ĭata Science is an amalgamation of Statistics, Tools, and Business knowledge. Thus, data science is all about the present and future. The algorithms also involve predictive analytics. In data science, one deals with both structured and unstructured data. 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).ĭata science can be defined as a blend of mathematics, business acumen, tools, algorithms, and machine learning techniques, all of which help us in finding out the hidden insights or patterns from raw data which can be of major use in the formation of big business decisions. In This Course, Solve Business Problems Using Data Science Practically.

Data science bootcamp