DataScience

=============

DataScience

=============

Libraries:

Numpy: Numpy arrays are very fast and can perform large computations in a very short time.
Pandas: This library helps to load the data frame in a 2D array format and has multiple functions to perform analysis tasks in one go.
metplotlib: This library is used to draw visualizations.
Seaborn: This library is used to draw visualizations.
scipy:
sklearn: This module contains multiple libraries are having pre-implemented functions to perform tasks from data preprocessing to model development and evaluation.
XGBoost: This contains the eXtreme Gradient Boosting machine learning algorithm which is one of the algorithms which helps us to achieve high accuracy on predictions.

DSA (Data Structures and Algorithms)

DSA (Data Structures and Algorithms) is the study of organizing data efficiently using data structures like arrays, stacks, and trees, paired with step-by-step procedures (or algorithms) to solve problems effectively. Data structures manage how data is stored and accessed, while algorithms focus on processing this data.

transformer-based deep neural networks

Generative AI tools have become more common since the AI boom in the 2020s. This boom was made possible by improvements in transformer-based deep neural networks, particularly large language models (LLMs). Major tools include chatbots such as ChatGPT, Copilot, Gemini, Claude, Grok, and DeepSeek; text-to-image models such as Stable Diffusion, Midjourney, and DALL-E; and text-to-video models such as Veo, LTXV and Sora.Technology companies developing generative AI include OpenAI, Anthropic, Meta AI, Microsoft, Google, DeepSeek, and Baidu.

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DataScience

Libraries:

DSA (Data Structures and Algorithms)

transformer-based deep neural networks

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Name		Name	Last commit message	Last commit date
Latest commit History 34 Commits
.vscode		.vscode
GradientDescent		GradientDescent
KNN		KNN
LSTM		LSTM
NetworX		NetworX
Pandasdemo		Pandasdemo
Pytensor		Pytensor
RBM		RBM
content		content
java		java
sparkrdd		sparkrdd
.gitignore		.gitignore
AI_Powered_Biometric_Authentication_System.ipynb		AI_Powered_Biometric_Authentication_System.ipynb
Analysis_House_Price_Regression_Analysis.ipynb		Analysis_House_Price_Regression_Analysis.ipynb
Anomaly_Detection_Technique.ipynb		Anomaly_Detection_Technique.ipynb
Approximate_Nearest_Neighbor_(ANN)_Search.ipynb		Approximate_Nearest_Neighbor_(ANN)_Search.ipynb
Astropy_Tutorials.ipynb		Astropy_Tutorials.ipynb
Autism_Prediction_using_Machine_Learning_Notebook.ipynb		Autism_Prediction_using_Machine_Learning_Notebook.ipynb
Autoencoders_in_Machine_Learning.ipynb		Autoencoders_in_Machine_Learning.ipynb
Backpropagation_in_Neural_Network.ipynb		Backpropagation_in_Neural_Network.ipynb
Breast_Cancer_Wisconsin_Diagnosis_using_KNN_and_Cross_Validation.ipynb		Breast_Cancer_Wisconsin_Diagnosis_using_KNN_and_Cross_Validation.ipynb
Breast_Cancer_Wisconsin_Diagnosis_using_Logistic_Regression.ipynb		Breast_Cancer_Wisconsin_Diagnosis_using_Logistic_Regression.ipynb
CNN.ipynb		CNN.ipynb
Calories_Burnt_Prediction_using_Machine_Learning.ipynb		Calories_Burnt_Prediction_using_Machine_Learning.ipynb
Cancer_Cell_Classification.ipynb		Cancer_Cell_Classification.ipynb
Classification_of_Text_Documents_using_Naive_Bayes.ipynb		Classification_of_Text_Documents_using_Naive_Bayes.ipynb
Classification_on_Imbalanced_Data_using_Python.ipynb		Classification_on_Imbalanced_Data_using_Python.ipynb
Classification_with_Neural_Networks_using_Python.ipynb		Classification_with_Neural_Networks_using_Python.ipynb
Clustering_Introduction.ipynb		Clustering_Introduction.ipynb
Compare_Multiple_Machine_Learning_Models.ipynb		Compare_Multiple_Machine_Learning_Models.ipynb
Covid-19_Vaccines_Analysis_with_Python.ipynb		Covid-19_Vaccines_Analysis_with_Python.ipynb
Covid_19_Analysis_and_Visualization_using_Plotly_Express.ipynb		Covid_19_Analysis_and_Visualization_using_Plotly_Express.ipynb
Customer-Churn-Analysis-Prediction-Python.ipynb		Customer-Churn-Analysis-Prediction-Python.ipynb
DBSCAN_Clustering_in_Machine_Learning.ipynb		DBSCAN_Clustering_in_Machine_Learning.ipynb
Data_Visualization_with_Seaborn_–_Python.ipynb		Data_Visualization_with_Seaborn_–_Python.ipynb
Dogecoin_Price_Prediction_with_Machine_Learning.ipynb		Dogecoin_Price_Prediction_with_Machine_Learning.ipynb
Fake_News_Detection_Model_using_TensorFlow_in_Python.ipynb		Fake_News_Detection_Model_using_TensorFlow_in_Python.ipynb
FastText.ipynb		FastText.ipynb
Generative_Adversarial_Network_(GAN).ipynb		Generative_Adversarial_Network_(GAN).ipynb
GloVe.ipynb		GloVe.ipynb
Heart_Disease_Prediction.ipynb		Heart_Disease_Prediction.ipynb
Heart_Disease_Prediction_using_ANN.ipynb		Heart_Disease_Prediction_using_ANN.ipynb
IPL_Data_Analysis.ipynb		IPL_Data_Analysis.ipynb
IPL_Score_Prediction.ipynb		IPL_Score_Prediction.ipynb
LLM_for_Python.ipynb		LLM_for_Python.ipynb
Linear_Regression_in_Machine_learning.ipynb		Linear_Regression_in_Machine_learning.ipynb
Logistic_Regression_in_Machine_Learning.ipynb		Logistic_Regression_in_Machine_Learning.ipynb
ML___Credit_Card_Fraud_Detection_.ipynb		ML___Credit_Card_Fraud_Detection_.ipynb
Microsoft Stock Price Prediction with Machine Learning.ipynb		Microsoft Stock Price Prediction with Machine Learning.ipynb
Music_Popularity_Prediction_with_Python.ipynb		Music_Popularity_Prediction_with_Python.ipynb
Naive_Bayes_Algorithm_in_Machine_Learning.ipynb		Naive_Bayes_Algorithm_in_Machine_Learning.ipynb
Naive_Bayes_Classifiers.ipynb		Naive_Bayes_Classifiers.ipynb
Notebook_Disease_Prediction_Using_Machine_Learning_.ipynb		Notebook_Disease_Prediction_Using_Machine_Learning_.ipynb
Ola_Bike_Ride_Request_Forecast_using_ML.ipynb		Ola_Bike_Ride_Request_Forecast_using_ML.ipynb
PandasAI.ipynb		PandasAI.ipynb
Parkinson_Disease_Prediction_using_Machine_Learning.ipynb		Parkinson_Disease_Prediction_using_Machine_Learning.ipynb
PySparkDataFrame.ipynb		PySparkDataFrame.ipynb
PySparkMysql.ipynb		PySparkMysql.ipynb
PyTorchNormal.ipynb		PyTorchNormal.ipynb
QisKit_BaseCircuit.ipynb		QisKit_BaseCircuit.ipynb
RAG.ipynb		RAG.ipynb
RAG_with_LangChain.ipynb		RAG_with_LangChain.ipynb
README.md		README.md
Rainfall_Prediction_using_Machine_Learning_Python.ipynb		Rainfall_Prediction_using_Machine_Learning_Python.ipynb
Real_Estate_Price_Prediction_using_Python.ipynb		Real_Estate_Price_Prediction_using_Python.ipynb
Recommendation_System_TensorFlow.ipynb		Recommendation_System_TensorFlow.ipynb
Recommendation_System_in_Python.ipynb		Recommendation_System_in_Python.ipynb
SMS_Spam_Detection_using_TensorFlow_in_Python.ipynb		SMS_Spam_Detection_using_TensorFlow_in_Python.ipynb
Sales Forecast Prediction - Python.ipynb		Sales Forecast Prediction - Python.ipynb
SampleNumpy_PandaMetplotlib_Seaborn_SKLearn.ipynb		SampleNumpy_PandaMetplotlib_Seaborn_SKLearn.ipynb
Spark.ipynb		Spark.ipynb
Stock_Market_Portfolio_Optimization_with_Python.ipynb		Stock_Market_Portfolio_Optimization_with_Python.ipynb
Stock_Price_Prediction_Project_using_TensorFlow.ipynb		Stock_Price_Prediction_Project_using_TensorFlow.ipynb
Stock_Price_Prediction_using_Machine_Learning_in_Python.ipynb		Stock_Price_Prediction_using_Machine_Learning_in_Python.ipynb
Stock_Price_Prediction_using_svm.ipynb		Stock_Price_Prediction_using_svm.ipynb
TensorflowBasicExample.ipynb		TensorflowBasicExample.ipynb
TensorflowExample.ipynb		TensorflowExample.ipynb
Tensorflow_NeuralNetwork.ipynb		Tensorflow_NeuralNetwork.ipynb
Turing-data-analysis-test.ipynb		Turing-data-analysis-test.ipynb
Types_of_Clustering_Algorithms.ipynb		Types_of_Clustering_Algorithms.ipynb
Vehicle_Count_Prediction_From_Sensor_Data.ipynb		Vehicle_Count_Prediction_From_Sensor_Data.ipynb
Wine_Quality_Prediction_Machine_Learning.ipynb		Wine_Quality_Prediction_Machine_Learning.ipynb
Word2Vec.ipynb		Word2Vec.ipynb
Zomato_Data_Analysis_Using_Python.ipynb		Zomato_Data_Analysis_Using_Python.ipynb
country-covid-vaccinations.ipynb		country-covid-vaccinations.ipynb
fast_ai_banna.ipynb		fast_ai_banna.ipynb

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