Artificial intelligence and machine learning ppt on data analysis
superrcssnhindi
47 views
15 slides
Aug 26, 2024
Slide 1 of 15
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
About This Presentation
data science ppt
Size: 5.58 MB
Language: en
Added: Aug 26, 2024
Slides: 15 pages
Slide Content
Artificial Intelligent And Machine learning PRESENTATION ON Internship done with YBI Foundation Name : Sachin Kumar Roll no. : 22001001108
Transforming Data into Insights: Big Sale P r edi c tion P r oje c t with Y BI F ou n dation Usin g AI a n d Machine Learning
About YBI Foundation YBI Foundation is a Delhi-based not-for-profit edutech company that aims to enable the youth to grow in the world of emerging technologies. They offer a mix of online and offline approaches to bring new skills, education, technologies for students, academicians and practitioners.
Int r odu c tion t o Big Sale P r edi c tion Transforming Data into Insights is crucial for businesses today. This project, in collaboration with YBI Foundation , aims to leverage AI and Machine Learning to predict sales trends effectively. By analyzing historical data, we can uncover valuable insights that drive strategic decision-making.
Understanding the Data The foundation of our project lies in data collection and analysis . We gather various datasets including 1. item_Weight item_Fat_Content item_Visibility item_Type item_MRP outlet_Identifier outlet_Establishment_Year Outlet_Size Outlet_Location_Type Outlet_Type Item_Outlet_Sales . This data is then cleaned and processed to ensure accuracy, enabling our AI models to generate reliable predictions.
W e utili z e ad v an c ed AI t e c hniques su c h as r eg r ession anal y sis t o model sales predictions. These machine learning algorithms learn from the data p a t te r ns, all o wing us t o f o r ecast po t ential sales a c cu r a t ely and p r o vide a c tionable insights f or business growth. A I a n d M a c h i n e L e a r n i n g T e c hn i q u e s
Tech Stack Used
About project Dataframe
About project Seaborn Plot
About project Model Accuracy
About project Matplotlib plot
I m p l e m e n t a t i o n S t r a t e g y O u r i m p l e m e n t a t i o n s t r a t e g y i n v o l v e s i n t e g r a t i n g p r e d i c t i v e m o d e l s i n t o e x i s t i n g s a l e s w o r k fl o w s . B y p r o v i d i ng real-time insights and recommendations, businesses can adjust their strategies p r o a c t i v e l y . T h i s a pp r o a c h n o t o n l y enhances efficiency but also maximizes p o t e n t i a l r e v e n u e o pp o r t u n i t i e s .
While implementing AI f or sales p r edi c tions, w e f a c e c hallenges su c h as data quali t y , m odel a c cu r a c y , and user a doption . T o o v e r come these, we emphasize continuous training , feedback loops , and user-friendly interfaces to ensure that insights are actionable and easily understood. Challenges and Solutions
In conclusion, the Big Sale Prediction Project with YBI Foundation showcases the power of AI and Machine Learning in transforming data into actionable insights. Moving forward, we aim to refine our models and expand our data sources for even more accurate predictions, driving sustained business success. Conclusion F u t u r e S t e p s