One-DS-a-day #ODaD

As I am challenging myself to explore data science and AI concepts and applied at least one project everyday. I'll upload in this repo for updates. #ODaD

Day	Project
1	California Housing Predictions
2	Sales Prediction
3	Covid-19-Vaccines-Analysis
4	Correlation Concepts
5	Bankruptcy Prediction
6	IPL 2022 Analysis
7	Product Demand Prediction
8	Facebook Prophet model applied in Tesla Stock Price Prediction
9	Clustering Music Genres
10	Ukraine Russia War Twitter Sentiment Analysis
11	Breast Cancer Survival Prediction
12	Case Study of Waiter tips prediction
13	Google Search Analysis
14	Virat Kohli Performance Analysis
15	News-Classification
16	Unemployment Analysis
17	LSTM Neural Network applied in Stock Price Prediction
18	Spam Detection
19	President Heights Analysis
20	Multinomial Naïve Bayes applied in Language Detection
21	Billionaires Analysis
22	Logistic Regression applied in Fake Currency Detection
23	Spelling Auto Correction
24	Movie Rating Analysis
25	Ecommerce Reviews Sentiment Analysis
26	Financial Budget Analysis
27	Order Prediction
28	Topic Modeling
29	Classification Algorithm Comparison
30	Uber Trips Analysis
31	AlexNet Architecture applied in CIFAR dataset
32	Dogecoin Price Prediction
33	Currency Exchange Rate Prediction
34	Movie Recommendation
35	NLP, paragraph analysis
36	Quick Feacture Engineering for Sentiment-Analysis
37	Classification-Neural-Networks
38	The Oil Palm, EDA
39	Cryptocurrency Price Prediction for next 30days
40	Omicron Sentiment Analysis
41	Customer Personality Analysis
42	Keyword Research
43	Employee Attrition Prediction
44	Life Expectancy Analysis
45	Insurance Prediction
46	Title Generator
47	NER : Named Entity Recognition
48	Twitter-Sentiment-Analysis
49	Gaussian Naive Bayesian From Scratch
50	2022 Flight Ticket Sale Prediction using AutoTS
51	Reconstruction based anomaly detection with Autoencoder
52	Transfer-Learning
53	statistical Distribution from scratch in Python-
54	Titanic_EDA_and_ML
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