Author name: Ramesh Banjade

lBusiness Intelligence Developer with a demonstrated history of working in the banking industry. My area of expertise is centered around the use of cutting-edge tools and technologies, including Power BI, SQL, SQL Server Reporting Services (SSRS), SSAS, Python, Machine Learning, and Predictive Modeling to extract meaningful insights from data and facilitate informed decision making and business growth. Ramesh Banjade Business Intelligence Developer Ramesh Banjade | LinkedIn

Importance of SQL Skills for Data Science Journey

SQL (Structured Query Language) is a programming language used to manage and manipulate relational databases. In the world of data science, SQL is an essential skill that can provide significant benefits for those who are looking to develop a career in this field.  In this blog post, we will explore the importance of SQL skills

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Basic Machine Learning Projects For Beginners: Starting Your Journey In Data Science

Machine learning is a subset of artificial intelligence that involves teaching computers to learn from data and make predictions or decisions without being explicitly programmed. It uses algorithms and statistical models to identify patterns in data, learn from them, and make predictions or decisions based on that learning. Machine learning can be supervised, unsupervised, or

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Transformers in Neural Networks – Introduction

Recurrent Neural Networks – Background Recurrent Neural Networks (RNNs) have been widely used for sequence modeling problems in natural language processing (NLP) due to their ability to process sequential data one element at a time. In particular, Long Short-Term Memory (LSTM) and Gated Recurrent Neural Network (GRU) variants of RNNs have been shown to be

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Dynamic Greeting Message based on Time and Login Users using DAX in Power BI.

DAX (Data Analysis Expressions) is a formula language used for data modeling and analysis in Microsoft Power BI. Using DAX users can create powerful data models and complex calculations. DAX formulas can also contain variables, which are used to store intermediate results. Variables are defined using the VAR keyword, followed by the variable name and

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Data Connectivity modes in Power BI Desktop

Power BI Desktop provides different data connectivity modes for various data sources, each with its own set of features and limitations. These data connectivity modes include Import, DirectQuery, and Live Connection. Import Mode: In Import mode, all the data is stored in Power BI Desktop, providing offline access to the data. This mode supports Data

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load data in power BI desktop

Power BI Desktop is the powerful business intelligence tool developed by Microsoft. It supports to connect multiple data sources, data modeling, data reshaping and transformation, interactive visualizations, and perform advanced data analytics. Power BI desktop version is free, users can download and use the application for free. However, for the full-functional web-based services, user license

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