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The Importance of Analyzing Data 📊 Analyzing data is crucial for gaining insights and taking corrective actions. Through Exploratory Data Analysis (EDA), we understand data better and make informed decisions. Machine learning predicts outcomes, aid

The more the data sets with investing and trading and fast development in technology throghout the globe to capture a big piece of chunk in Gen AI market, this could be considered as a step towards it.

I am interested in participate hackothons Can any share ur thoughts and which are the best and effective platforms to participate suggest any free hackothons : )

Is there any kinda oppertunity for Data science or Data analytics Internship , Comfortable location Kolkata - better in online mode

Any one interested to participate in google Gemini api developer competition?

Using data breach , fishing for generating leads and getting sales isn't the better way then running ads or marketing

Participate in Samsung "Solve for Tomorrow" A national education and innovation competition & get a chance to win 50L grand price

Many argue that Data Engineering is a part of data science and analytics. It's different from data science, but they work together closely. Data Engineers come first in the process. They gather and organize data. This data is then used by Data Scien

In traditional programming, the focus is on using rules and data to find answers. This is typically represented as rules + data = answers. In contrast, AI/ML takes a different approach: Answers + data = rules. In AI/ML, we train models by providing

𝐄𝐱𝐩𝐥𝐨𝐫𝐢𝐧𝐠 𝐌𝐨𝐧𝐠𝐨𝐃𝐁: 𝐅𝐥𝐞𝐱𝐢𝐛𝐢𝐥𝐢𝐭𝐲 & 𝐒𝐜𝐚𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲 MongoDB, a leading NoSQL database, offers a flexible, document-oriented model that stores data in JSON-like BSON documents. Unlike SQL databases, MongoDB supports dyn