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Ruhi Parveen
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To generate custom code with AI, start by choosing a suitable AI tool or platform like OpenAI's Codex, GitHub Copilot, or Google's Bard. Describe your coding requirements and context clearly, such as the programming language, specific functionality, and any constraints.
How to generate custom code with AI?
naila noor
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Ruhi Parveen
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From Basics to AI Expert: Intensive Course in Delhi
From Basics to AI Expert: Intensive Course in Delhi" is a comprehensive training program designed to guide participants from fundamental concepts to advanced AI expertise. This intensive course covers core topics including machine learning, neural networks, natural language processing, and data analysis. Students will engage in hands-on projects, case studies, and real-world applications to...
Ruhi Parveen
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Here are some essential AI Tools:
Email Marketing:
Mailchimp: Uses AI to optimize email campaigns and audience targeting.
Constant Contact: Provides AI tools for email performance analysis.
Content Creation:
Canva: AI tools for graphic design and social media content.
Copy.ai: Generates marketing copy and content ideas using AI.
SEO Optimization:
SEMrush: Uses AI to analyze SEO performance...
Which AI tools are essential for a small business?
Ghulam Abbas
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Ruhi Parveen
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Why Data Science Training Is Important ?
Ruhi Parveen
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Which is the best data analytics training institute in Delhi?
Ruhi Parveen
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What is the importance of data cleaning in data science?
Ruhi Parveen
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I like C++
what is your favorite programming language?
Jose Rodríguez
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Ruhi Parveen
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Seeking guidance on the best data science programs?
Ruhi Parveen
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Google Analytics
Google Search Console
Moz
Keyword Planner
Keyword Serfer
Which is the best free SEO tool?
Ghulam Abbas
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Ruhi Parveen
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The percentage of time developers spend coding in a day can vary widely based on several factors, including the nature of their work, their role, and the stage of the project. However, studies suggest that developers spend roughly 50% to 70% of their time writing code. The rest of their time is typically spent on activities such as debugging, testing, code review, meetings, planning, and...
What percentage of time do developers actually spend coding in a day?
Matt by Webb.ai
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Ruhi Parveen
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Which is the best institute for learning Data Analytics?
Ruhi Parveen
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What is the scope of Data Science in future?
Ruhi Parveen
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developers spend roughly 50% to 70% of their time writing code. The rest of their time is typically spent on tasks such as debugging, testing, code reviews, meetings, and other project-related activities. It's important to note that these numbers are rough estimates and can vary significantly based on the specific circumstances of each developer and project.
How much time do software developers actually spend writing code per day?
Matt by Webb.ai
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Ruhi Parveen
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Developers spend roughly 50% to 70% of their time writing code. The rest of their time is typically spent on tasks such as debugging, testing, code reviews, meetings, and other project-related activities. It's important to note that these numbers are rough estimates and can vary significantly based on the specific circumstances of each developer and project.
How much time do software developers actually spend writing code per day?
Matt by Webb.ai
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Ruhi Parveen
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is data science a good choice for my career
Ruhi Parveen
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Is Data Science good for Career?
Yes, a career in Data Science is highly promising. It offers robust job opportunities due to the increasing importance of data-driven decision-making across industries. Data scientists are in demand for their ability to analyze complex data and provide actionable insights. The field offers competitive salaries, opportunities for career growth, and the chance to work on cutting-edge...
Ruhi Parveen
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What is the importance of security testing in software development?
Ruhi Parveen
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What is the difference between Business Intelligence and Data Science ?
What is the difference between Business Intelligence and Data Science ?
Ruhi Parveen
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Why is the data science course good for me?
Why is the data science course good for me?
Ruhi Parveen
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What are the key components in Data Science ?
The key components in Data Science are data collection, data processing and cleaning, exploratory data analysis, statistical analysis, machine learning, data visualization, and communication of results.