The Importance of Building Projects
Working on projects is vital to pushing your career as a Python developer forward. They make you apply the skills and knowledge you’re acquiring.
Projects can help you:
Build confidence: You will believe more in your ability to create software regardless the level of complexity.
Explore other technologies: You will learn about other technologies needed in building a complete product such as databases, servers, and other languages.
.Experience a complete software development life cycle: You will learn how to plan before writing code, manage the coding process and update software.
Understand programming concepts better: You will learn to write code better and understand concepts such as design patterns and object oriented programming.
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Any queries regarding major and mini projects contact 📞 us:
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Working on projects is vital to pushing your career as a Python developer forward. They make you apply the skills and knowledge you’re acquiring.
Projects can help you:
Build confidence: You will believe more in your ability to create software regardless the level of complexity.
Explore other technologies: You will learn about other technologies needed in building a complete product such as databases, servers, and other languages.
.Experience a complete software development life cycle: You will learn how to plan before writing code, manage the coding process and update software.
Understand programming concepts better: You will learn to write code better and understand concepts such as design patterns and object oriented programming.
#pantechelearning
Any queries regarding major and mini projects contact 📞 us:
WhatsApp us:+91 8925533483/82
Website:www.pantechelearning.com.
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Which machine learning algorithm to use for Classification.
In this post, we will look at some of the important machine learning classification algorithms.
Do comment which algorithm to be used for the classification in machine learning. @pantechelearning
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In this post, we will look at some of the important machine learning classification algorithms.
Do comment which algorithm to be used for the classification in machine learning. @pantechelearning
#pantechelearning
Any queries regarding major and mini projects contact 📞 us:
WhatsApp us:+91 8925533483/82
Website:www.pantechelearning.com.
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Logistic regression
Logistic regression is a supervised learning classification algorithm used to predict the probability of a target variable. The nature of target or dependent variable is dichotomous, which means there would be only two possible classes.
In simple words, the dependent variable is binary in nature having data coded as either 1 (stands for success/yes) or 0 (stands for failure/no).
Mathematically, a logistic regression model predicts P(Y=1) as a function of X. It is one of the simplest ML algorithms that can be used for various classification problems such as spam detection, Diabetes prediction, cancer detection etc. @pantechelearning
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Logistic regression is a supervised learning classification algorithm used to predict the probability of a target variable. The nature of target or dependent variable is dichotomous, which means there would be only two possible classes.
In simple words, the dependent variable is binary in nature having data coded as either 1 (stands for success/yes) or 0 (stands for failure/no).
Mathematically, a logistic regression model predicts P(Y=1) as a function of X. It is one of the simplest ML algorithms that can be used for various classification problems such as spam detection, Diabetes prediction, cancer detection etc. @pantechelearning
#pantechelearning
Any queries regarding major and mini projects contact 📞 us:
WhatsApp us:+91 8925533483/82
Website:www.pantechelearning.com.
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List of AI Tools & Frameworks
From the dawn of mankind, we as a species have always been trying to make things to assist us in day to day tasks. From stone tools to modern day machinery, to tools for making the development of programs to assist us in day to day life. Some of the most important tools and frameworks are:
Scikit learn
Tensor Flow
Theano
Caffe
Mxnet
Keras
PyTorch
CNTK
Auto ML
Open NN
H20: open source AI platform
Google ML kit @pantechelearning
#pantechelearning
Any queries regarding major and mini projects contact 📞 us:
WhatsApp us:+91 8925533483/82
Website:www.pantechelearning.com.
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From the dawn of mankind, we as a species have always been trying to make things to assist us in day to day tasks. From stone tools to modern day machinery, to tools for making the development of programs to assist us in day to day life. Some of the most important tools and frameworks are:
Scikit learn
Tensor Flow
Theano
Caffe
Mxnet
Keras
PyTorch
CNTK
Auto ML
Open NN
H20: open source AI platform
Google ML kit @pantechelearning
#pantechelearning
Any queries regarding major and mini projects contact 📞 us:
WhatsApp us:+91 8925533483/82
Website:www.pantechelearning.com.
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#pantechelearning #machinelearning #artificialintelligence #ai #datascience #python #deeplearning #technology #programming #coding #bigdata #computerscience #data #dataanalytics #tech #datascientist #iot #pythonprogramming #programmer #ml #developer #software #robotics #java #innovation #coder #javascript #datavisualization #analytics
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Classification and Regression are two major prediction problems which are usually dealt with Data mining and machine learning.
Classification is the process of finding or discovering a model or function which helps in separating the data into multiple categorical classes i.e. discrete values. In classification, data is categorized under different labels according to some parameters given in input and then the labels are predicted for the data.
The derived mapping function could be demonstrated in the form of “IF-THEN” rules. The classification process deal with the problems where the data can be divided into binary or multiple discrete labels.
Regression is the process of finding a model or function for distinguishing the data into continuous real values instead of using classes or discrete values. It can also identify the distribution movement depending on the historical data. Because a regression predictive model predicts a quantity, therefore, the skill of the model must be reported as an error in those predictions.
@pantechelearning
#pantechelearning
Any queries regarding major and mini projects contact 📞 us:
WhatsApp us:+91 8925533483/82
Website:www.pantechelearning.com.
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#pantechelearning #classification #datascience #machinelearning #artificialintelligence #ai #deeplearning #dataanalytics #data #datascientist #clustering #regression #ml #python #datavisualization #analytics #statistics #dataanalysis #science #bigdata #neuralnetworks #me #biology #dataanalyst #dataprocessing #logisticregression #machinelearningalgorithms #algorithm
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Classification is the process of finding or discovering a model or function which helps in separating the data into multiple categorical classes i.e. discrete values. In classification, data is categorized under different labels according to some parameters given in input and then the labels are predicted for the data.
The derived mapping function could be demonstrated in the form of “IF-THEN” rules. The classification process deal with the problems where the data can be divided into binary or multiple discrete labels.
Regression is the process of finding a model or function for distinguishing the data into continuous real values instead of using classes or discrete values. It can also identify the distribution movement depending on the historical data. Because a regression predictive model predicts a quantity, therefore, the skill of the model must be reported as an error in those predictions.
@pantechelearning
#pantechelearning
Any queries regarding major and mini projects contact 📞 us:
WhatsApp us:+91 8925533483/82
Website:www.pantechelearning.com.
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#pantechelearning #classification #datascience #machinelearning #artificialintelligence #ai #deeplearning #dataanalytics #data #datascientist #clustering #regression #ml #python #datavisualization #analytics #statistics #dataanalysis #science #bigdata #neuralnetworks #me #biology #dataanalyst #dataprocessing #logisticregression #machinelearningalgorithms #algorithm
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Instagram
Instagram
Why Is Python Programming Considered the Top Language?
The list of programming languages is so massive that it’s natural for people to have widely different opinions about which one is “the best one”. Obviously, it all depends on the project at hand, so to claim a language as superior to all the rest feels weird. Yet, that doesn’t mean that there aren’t programming languages that are universally revered and favored. Among them, Python might be the most popular one.
Python is undoubtedly considered a top programming language at the same level as JavaScript or C++, and it’s one of the most used languages by businesses and enterprises. Even though it’s almost 30 years old, Python is still relevant, given its ease of use, its vibrant community, and many applications. Those characteristics should be enough to support the claim as a top programming language, but let’s dive a little more into it to understand Python’s value truly. @pantechelearning
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Any queries regarding major and mini projects contact 📞 us:
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The list of programming languages is so massive that it’s natural for people to have widely different opinions about which one is “the best one”. Obviously, it all depends on the project at hand, so to claim a language as superior to all the rest feels weird. Yet, that doesn’t mean that there aren’t programming languages that are universally revered and favored. Among them, Python might be the most popular one.
Python is undoubtedly considered a top programming language at the same level as JavaScript or C++, and it’s one of the most used languages by businesses and enterprises. Even though it’s almost 30 years old, Python is still relevant, given its ease of use, its vibrant community, and many applications. Those characteristics should be enough to support the claim as a top programming language, but let’s dive a little more into it to understand Python’s value truly. @pantechelearning
#pantechelearning
Any queries regarding major and mini projects contact 📞 us:
WhatsApp us:+91 8925533483/82
Website:www.pantechelearning.com.
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#pantechelearning #pantechammerpet #webdevelopment #codinglife #pythons #ai #hacking #deeplearning #softwaredeveloper #hacker #programmingmemes #cybersecurity #ballpythonsofinstagram #programmers #c #webdesign #programminglife #royalpython #pythoncode #ballpythons #pythonregius #development #softwareengineer #computer #reptilelover #dataanalytics
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What is TensorFlow?
TensorFlow is an open-source end-to-end platform for creating Machine Learning applications. It is a symbolic math library that uses dataflow and differentiable programming to perform various tasks focused on training and inference of deep neural networks. It allows developers to create machine learning applications using various tools, libraries, and community resources.
Currently, the most famous deep learning library in the world is Google's TensorFlow. Google product uses machine learning in all of its products to improve the search engine, translation, image captioning or recommendations.
To give a concrete example, Google users can experience a faster and more refined the search with AI. If the user types a keyword a the search bar, Google provides a recommendation about what could be the next word.
@pantechelearning
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Any queries regarding major and mini projects contact 📞 us:
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TensorFlow is an open-source end-to-end platform for creating Machine Learning applications. It is a symbolic math library that uses dataflow and differentiable programming to perform various tasks focused on training and inference of deep neural networks. It allows developers to create machine learning applications using various tools, libraries, and community resources.
Currently, the most famous deep learning library in the world is Google's TensorFlow. Google product uses machine learning in all of its products to improve the search engine, translation, image captioning or recommendations.
To give a concrete example, Google users can experience a faster and more refined the search with AI. If the user types a keyword a the search bar, Google provides a recommendation about what could be the next word.
@pantechelearning
#pantechelearning
Any queries regarding major and mini projects contact 📞 us:
WhatsApp us:+91 8925533483/82
Website:www.pantechelearning.com.
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Data science and machine learning are both very popular buzzwords today. These two terms are often thrown around together but should not be mistaken for synonyms. Although data science includes machine learning, it is a vast field with many different tools.
Data science is a broad, interdisciplinary field that harnesses the widespread amounts of data and processing power available to gain insights. One of the most exciting technologies in modern data science is machine learning. Machine learning allows computers to autonomously learn from the wealth of data that is available.
The applications of these technologies are vast, but not unlimited. Though data science is powerful, it only works if you have highly skilled employees and quality data.
How is all the big data analyzed? Fine, the machine learns on its own through machine learning algorithms – but how? Who gives the necessary inputs to a machine for creating algorithms and models? No points for guessing that it is data science. Data Science is a uses different methods, algorithms, processes, and systems to extract, analyze and get insights from data.
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Any queries regarding major and mini projects contact 📞 us:
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Data science is a broad, interdisciplinary field that harnesses the widespread amounts of data and processing power available to gain insights. One of the most exciting technologies in modern data science is machine learning. Machine learning allows computers to autonomously learn from the wealth of data that is available.
The applications of these technologies are vast, but not unlimited. Though data science is powerful, it only works if you have highly skilled employees and quality data.
How is all the big data analyzed? Fine, the machine learns on its own through machine learning algorithms – but how? Who gives the necessary inputs to a machine for creating algorithms and models? No points for guessing that it is data science. Data Science is a uses different methods, algorithms, processes, and systems to extract, analyze and get insights from data.
@pantechelearning
#pantechelearning
Any queries regarding major and mini projects contact 📞 us:
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Website:www.pantechelearning.com.
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10 Essential Python Tips And Tricks For Programmers
Python is one of the most preferred languages out there. Its brevity and high readability makes it so popular among all programmers.
So here are few of the tips and tricks you can use to bring up your Python programming game.
Stay tuned for more tricks and tips @pantechelearning
#pantechelearning
Any queries regarding major and mini projects contact 📞 us:
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Website:www.pantechelearning.com.
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Python is one of the most preferred languages out there. Its brevity and high readability makes it so popular among all programmers.
So here are few of the tips and tricks you can use to bring up your Python programming game.
Stay tuned for more tricks and tips @pantechelearning
#pantechelearning
Any queries regarding major and mini projects contact 📞 us:
WhatsApp us:+91 8925533483/82
Website:www.pantechelearning.com.
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#pantechelearning #pantechammerpet #machinelearning #artificialintelligence #ai #datascience #python #deeplearning #technology #programming #coding #bigdata #computerscience #data #dataanalytics #tech #datascientist #iot #pythonprogramming #programmer #ml #developer #software #robotics #innovation #coder
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