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Expand Up @@ -156,112 +156,7 @@ The six major areas of data science include the following:
<!-- Projects start -->
| Content List |
| --------------- |
| [Advanced Visualizations](Advanced%20Visualizations) |
| [Alzheimer's Disease Predictor](Alzheimer's%20Disease%20Predictor) |
| [Analysis And predict_Black_friday_sale](Analysis_&_predict_Black_friday_sale) |
| [Audio Classification](Audio%20Classification) |
| [Automatic Summarization of Scientific Papers](Automatic%20Summarization%20of%20Scientific%20Papers) |
| [Basics of ML and DL](Basics%20of%20ML%20and%20DL) |
| [Basics of Power Bi](Basics%20of%20Power%20Bi) |
| [Basics of the Python](Basics%20of%20the%20Python) |
| [Bidirectional LSTM](Bidirectional%20LSTM) |
| [Bird Species Classification Web App](Bird%20Species%20Classification%20Web%20App) |
| [Bitcoin Price Prediction Web App](Bitcoin%20Price%20Prediction%20Web%20App) |
| [Bitcoin Price Predictor](Bitcoin%20Price%20Predictor) |
| [CBT_ChatBot](CBT_ChatBot) |
| [COVID_19-DATA-ANALYSIS](COVID_19-DATA-ANALYSIS) |
| [Cheat Sheets](Cheat%20Sheets) |
| [Class Imbalance problem](Class%20Imbalance%20problem) |
| [Classification Algorithms](Classification%20Algorithms) |
| [Cloud Details](Cloud%20Details) |
| [Covid19 forecasting with prophet](Covid19%20forecasting%20with%20prophet) |
| [Covid_Third_Wave_Forecasting](Covid_Third_Wave_Forecasting) |
| [CrowdAI Plant Disease](CrowdAI%20Plant%20Disease) |
| [Customer Segmentation using Machine Learning](Customer%20Segmentation%20using%20Machine%20Learning) |
| [Data Cleaning Techniques](Data%20Cleaning%20Techniques) |
| [Data Filling and Cleaning Techniques](Data%20Filling%20and%20Cleaning%20Techniques) |
| [Different types of Clustering](Different%20types%20of%20Clustering) |
| [Different types of feature selection techniques](Different%20types%20of%20feature%20selection%20techniques) |
| [Different_types_of_scaling_Method](Different_types_of_scaling_Method) |
| [Driver_Drowsiness_Detection](Driver_Drowsiness_Detection) |
| [EDA-and-Perform-Modelling-on-Ionosphere-Dataset-main](EDA-and-Perform-Modelling-on-Ionosphere-Dataset-main) |
| [Email Classifier](Email%20Classifier) |
| [Emotion Recognition Based on NLP](Emotion%20Recognition%20Based%20on%20NLP) |
| [Ensemble Methds in ML](Ensemble%20Methds%20in%20ML) |
| [Explaination and Example for P value with code](Explaination%20and%20Example%20for%20P%20value%20with%20code) |
| [Exploratory-data-analysis](Exploratory-data-analysis) |
| [Extract_Text_from_PDF_using_Python](Extract_Text_from_PDF_using_Python) |
| [Fake_News_Detection](Fake_News_Detection) |
| [File of SQL Commands](File%20of%20SQL%20Commands) |
| [Fish-Weight-Estimation](Fish-Weight-Estimation) |
| [Flight_delay_prediction_project](Flight_delay_prediction_project) |
| [GDP Prediction](GDP%20Prediction) |
| [GUI-JARVIS](GUI-JARVIS) |
| [Gender Pay Gap Analysis](Gender%20Pay%20Gap%20Analysis) |
| [Google Teachable Machine](Google%20Teachable%20Machine) |
| [Handwritten Equation Solver using CNN](Handwritten%20Equation%20Solver%20using%20CNN) |
| [Handwritten character recognition](Handwritten%20character%20recognition) |
| [Heart_Predection](Heart_Predection) |
| [HollywoodMarketSynopsis](HollywoodMarketSynopsis) |
| [IMDB Box Office Prediction](IMDB%20Box%20Office%20Prediction) |
| [LanguageDetection](LanguageDetection) |
| [Medical Charges for Smokers and Non-smoker](Medical%20Charges%20for%20Smokers%20and%20Non-smoker) |
| [Medical_Help_Chatbot](Medical_Help_Chatbot) |
| [Meteorite Landing Data Analysis](Meteorite%20Landing%20Data%20Analysis) |
| [Movie-Recommendation-System](Movie-Recommendation-System) |
| [Movie-Recommender-System using python](Movie-Recommender-System%20using%20python) |
| [Nasa-Asteroids-Dataset-Analysis](Nasa-Asteroids-Dataset-Analysis) |
| [NumPy - Basics](NumPy%20-%20Basics) |
| [Number_of_people_counter](Number_of_people_counter) |
| [OCR-Medicine-Reader](OCR-Medicine-Reader) |
| [Object Detection](Object%20Detection) |
| [Ola Bike Ride Request Demand Forecast](Ola%20Bike%20Ride%20Request%20Demand%20Forecast) |
| [Optical character recognition (OCR)](Optical%20character%20recognition%20(OCR)) |
| [Plant Seedlings Classification](Plant%20Seedlings%20Classification) |
| [R language](R%20language) |
| [Random forest from scratch](Random%20forest%20from%20scratch) |
| [Random forest test](Random%20forest%20test) |
| [Rock Paper Scissors Python Game](Rock%20Paper%20Scissors%20Python%20Game) |
| [Sentiment analysis for depression based on social media posts](Sentiment%20analysis%20for%20depression%20based%20on%20social%20media%20posts) |
| [Sentiment-Analysis](Sentiment-Analysis) |
| [Skin Disease Predictor](Skin%20Disease%20Predictor) |
| [Spam Mail Detection](Spam%20Mail%20Detection) |
| [Speech_Emotion_Recognition](Speech_Emotion_Recognition) |
| [Spelling Corrector](Spelling%20Corrector) |
| [Sports Analytics Project](Sports%20Analytics%20Project) |
| [Startup_Profit_Prediction](Startup_Profit_Prediction) |
| [Stock Price Analysis](Stock%20Price%20Analysis) |
| [Sudoku Solver using CNN](Sudoku%20Solver%20using%20CNN) |
| [Tensorflow.js Demo](Tensorflow.js%20Demo) |
| [Time Series Forecasting with Python](Time%20Series%20Forecasting%20with%20Python) |
| [Time-Series LSTM Model](Time-Series%20LSTM%20Model) |
| [Unique Chatbot](Unique%20Chatbot) |
| [Various Plots using Matplot,Seaborn,Pandas](Various%20Plots%20using%20Matplot%2CSeaborn%2CPandas) |
| [Vehicles and Pedestrian Detection](Vehicles%20and%20Pedestrian%20Detection) |
| [Weather Prediction](Weather%20Prediction) |
| [Web-Scraping-with-Beautiful-Soup-master](Web-Scraping-with-Beautiful-Soup-master) |
| [XgBoost_Algorithm](XgBoost_Algorithm) |
| [ensemble-methods-notebooks-master](ensemble-methods-notebooks-master) |
| [heart failure](heart%20failure) |
| [job_Advertisement_detection](job_Advertisement_detection) |
| [logistic_regression_scratch](logistic_regression_scratch) |
| [recommendation_system](recommendation_system) |
| [.DS_Store](.DS_Store) |
| [Analysis_of_Temperature_Rise_in_PMSM.ipynb](Analysis_of_Temperature_Rise_in_PMSM.ipynb) |
| [Beautiful Soup.ipynb](Beautiful%20Soup.ipynb) |
| [Ensemble learning.docx](Ensemble%20learning.docx) |
| [Ensemble-Learning (Stacking)](Ensemble-Learning%20(Stacking)) |
| [Machine Hack -1.ipynb](Machine%20Hack%20-1.ipynb) |
| [README.md updated file](README.md%20updated%20file) |
| [Role_from_Resume.ipynb](Role_from_Resume.ipynb) |
| [Sql](Sql) |
| [Statistics- Basics.ipynb](Statistics-%20Basics.ipynb) |
| [Test Task_NIket.ipynb](Test%20Task_NIket.ipynb) |
| [UBER_DATA_ANALYSIS.ipynb](UBER_DATA_ANALYSIS.ipynb) |
| [Various_Plots_in_Matplotlib.ipynb](Various_Plots_in_Matplotlib.ipynb) |
| [Visualization with Seaborn & Matplotlib.ipynb](Visualization%20%20with%20Seaborn%20%26%20Matplotlib.ipynb) |
| [buyer_s_time234.ipynb](buyer_s_time234.ipynb) |
| [random_forest.py](random_forest.py) |

<!-- Projects end -->

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