Build 100 Projects in 100 Days- Data Science, Machine Learning, Deep Learning (Python, Flask, Django, AWS, Heruko Cloud)
What you'll learn
Have a great intuition of many Machine Learning models
Know which Machine Learning model to choose for each type of problem
Implement Machine Learning Algorithms
Create supervised machine learning algorithms to predict classes.
Understand the full product workflow for the machine learning lifecycle.
Explore how to deploy your machine learning models.
Learn which Machine Learning model to choose for each type of problem
Real life case studies and projects to understand how things are done in the real world
Learn to use NumPy for Numerical Data
Use Matplotlib to create fully customized data visualizations with Python.
Explore large datasets and wrangle data using Pandas
Learn to use Seaborn for statistical plots

Requirements
Basic knowledge of machine learning

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).We have been able to process such a voluminous amount of data. We are able to analyze and draw insights from this data owing to these advanced computational systems.However, despite all these advancements, data remains a vast ocean that is growing every second. While the huge abundance of data can prove useful for the industries, the problem lies in the ability to use this data.As mentioned above, data is fuel but it is a raw fuel that needs to be converted into useful fuel for the industries. In order to make this raw fuel useful, industries require Data Scientists. Therefore, knowledge of data science is a must if you wish to use this data to help companies make powerful decisions.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 in 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 the position of prestige in the company. The company relies on his 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 health-care 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 Scientist 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.In This Course, We Are Going To Work On 100 Real World Projects Listed Below:Project-1: Pan Card Tempering Detector App -Deploy On HerokuProject-2: Dog breed prediction Flask AppProject-3: Image Watermarking App -Deploy On HerokuProject-4: Traffic sign classificationProject-5: Text Extraction From Images ApplicationProject-6: Plant Disease Prediction Streamlit AppProject-7: Vehicle Detection And Counting Flask AppProject-8: Create A Face Swapping Flask AppProject-9: Bird Species Prediction Flask AppProject-10: Intel Image Classification Flask AppProject-11: Language Translator App Using IBM Cloud Service -Deploy On HerokuProject-12: Predict Views On Advertisement Using IBM Watson -Deploy On HerokuProject-13: Laptop Price Predictor -Deploy On HerokuProject-14: WhatsApp Text Analyzer -Deploy On HerokuProject-15: Course Recommendation System -Deploy On HerokuProject-16: IPL Match Win Predictor -Deploy On HerokuProject-17: Body Fat Estimator App -Deploy On Microsoft AzureProject-18: Campus Placement Predictor App -Deploy On Microsoft AzureProject-19: Car Acceptability Predictor -Deploy On Google CloudProject-20: Book Genre Classification App -Deploy On Amazon Web ServicesProject 21 : DNA classification for finding E.Coli - Deploy On AWSProject 22 : Predict the next word in a sentence. - AWS - Deploy On AWSProject 23 : Predict Next Sequence of numbers using LSTM - Deploy On AWSProject 24 : Keyword Extraction from text using NLP - Deploy On AzureProject 25 : Correcting wrong spellings - Deploy On AzureProject 26 : Music popularity classification - Deploy On Google App EngineProject 27 : Advertisement Classification - Deploy On Google App EngineProject 28 : Image Digit Classification - Deploy On AWSProject 29 : Emotion Recognition using Neural Network - Deploy On AWSProject 30 : Breast cancer Classification - Deploy On AWSProject-31: Sentiment Analysis Django App -Deploy On HerokuProject-32: Attrition Rate Django ApplicationProject-33: Find Legendary Pokemon Django App -Deploy On HerokuProject-34: Face Detection Streamlit AppProject-35: Cats Vs Dogs Classification Flask AppProject-36: Customer Revenue Prediction App -Deploy On HerokuProject-37: Gender From Voice Prediction App -Deploy On HerokuProject-38: Restaurant Recommendation SystemProject-39: Happiness Ranking Django App -Deploy On HerokuProject-40: Forest Fire Prediction Django App -Deploy On HerokuProject-41: Build Car Prices Prediction App -Deploy On HerokuProject-42: Build Affair Count Django App -Deploy On HerokuProject-43: Build Shrooming Predictions App -Deploy On HerokuProject-44: Google Play App Rating prediction With Deployment On HerokuProject-45: Build Bank Customers Predictions Django App -Deploy On HerokuProject-46: Build Artist Sculpture Cost Prediction Django App -Deploy On HerokuProject-47: Build Medical Cost Predictions Django App -Deploy On HerokuProject-48: Phishing Webpages Classification Django App -Deploy On HerokuProject-49: Clothing Fit-Size predictions Django App -Deploy On HerokuProject-50: Build Similarity In-Text Django App -Deploy On HerokuProject-51: Black Friday Sale ProjectProject-52: Sentiment Analysis ProjectProject-53: Parkinson's Disease Prediction ProjectProject-54: Fake News Classifier ProjectProject-55: Toxic Comment Classifier ProjectProject-56: IMDB Movie Ratings PredictionProject-57: Indian Air Quality PredictionProject-58: Covid-19 Case AnalysisProject-59: Customer Churning PredictionProject-60: Create A ChatBotProject-61: Video Game sales AnalysisProject-62: Zomato Restaurant AnalysisProject-63: Walmart Sales ForecastingProject-64 : Sonic wave velocity prediction using Signal Processing TechniquesProject-65 : Estimation of Pore Pressure using Machine LearningProject-66 : Audio processing using MLProject-67 : Text characterisation using Speech recognitionProject-68 : Audio classification using Neural networksProject-69 : Developing a voice assistantProject-70 : Customer segmentationProject-71 : FIFA 2019 AnalysisProject-72 : Sentiment analysis of web scrapped dataProject-73 : Determining Red Vine QualityProject-74 : Customer Personality AnalysisProject-75 : Literacy Analysis in IndiaProject-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 KerasProject-80: Bank Customer Churn Prediction Using H2O Auto MLProject-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 MLProject-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 MLProject-90: Drinking Water Potability Prediction Using ML And H2O Auto MLProject-91: Image Editor Application With OpenCV And TkinterProject-92: Brand Identification Game With Tkinter And Sqlite3Project-93: Transaction Application With Tkinter And Sqlite3Project-94: Learning Management System With DjangoProject-95: Create A News Portal With DjangoProject-96: Create A Student Portal With DjangoProject-97: Productivity Tracker With Django And PlotlyProject-98: Create A Study Group With DjangoProject-99: Building Crop Guide Application with PyQt5, SQLiteProject-100: Building Password Manager Application With PyQt5, SQLiteTip: Create A 50 Days Study Plan Or 100 Day Study Plan, Spend 1-3hrs Per Day, Build 100 Projects In 50 Days Or  100 Projects In 100 Days.The Only Course You Need To Become A Data Scientist, Get Hired And Start A New CareerNote (Read This): This Course Is Worth Of Your Time And Money, Enroll Now Before Offer Expires.

Who this course is for
Beginners in data science

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