1594820760

Forecasting

**Forecasting **is one of the process of predicting the future based on past and present data. Most of the forecasting problem associated with time series data (i.e. what is the sale of product A next month).Some problems can be easier to forecast than others. The predictability of an event or a quantity depends on several factors, some are:

1. understanding of the factors contribute to the result;data availability;forecasting technique or learning algorithm.

Often, there are many methods in solving forecast accurately, good forecasts capture the genuine patterns and relationships which exist in the historical data, but do not replicate past events that will not occur again.

Seasonality and use cases

In time series data, seasonality refers to the presence of some certain regular intervals, or predictable cyclic variation depending on the specific time frame (i.e. weekly basis, monthly basis). Some examples of seasonality is higher sales during Christmas, higher bookings during holiday period.

#machine-learning #time-series-analysis #fourier-transform #artificial-intelligence #python

1619518440

top 30 Python Tips and Tricks for Beginners

Welcome to my Blog , In this article, you are going to learn the top 10 python tips and tricks.

8) Check The Memory Usage Of An Object.

#python #python hacks tricks #python learning tips #python programming tricks #python tips #python tips and tricks #python tips and tricks advanced #python tips and tricks for beginners #python tips tricks and techniques #python tutorial #tips and tricks in python #tips to learn python #top 30 python tips and tricks for beginners

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Lambda, Map, Filter functions in python

Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.

Lambda function in python: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is

Syntax: x = lambda arguments : expression

Now i will show you some python lambda function examples:

#python #anonymous function python #filter function in python #lambda #lambda python 3 #map python #python filter #python filter lambda #python lambda #python lambda examples #python map

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Why use Python for Software Development

No programming language is pretty much as diverse as Python. It enables building cutting edge applications effortlessly. Developers are as yet investigating the full capability of end-to-end Python development services in various areas.

By areas, we mean FinTech, HealthTech, InsureTech, Cybersecurity, and that's just the beginning. These are New Economy areas, and Python has the ability to serve every one of them. The vast majority of them require massive computational abilities. Python's code is dynamic and powerful - equipped for taking care of the heavy traffic and substantial algorithmic capacities.

Programming advancement is multidimensional today. Endeavor programming requires an intelligent application with AI and ML capacities. Shopper based applications require information examination to convey a superior client experience. Netflix, Trello, and Amazon are genuine instances of such applications. Python assists with building them effortlessly.

5 Reasons to Utilize Python for Programming Web Apps

Python can do such numerous things that developers can't discover enough reasons to admire it. Python application development isn't restricted to web and enterprise applications. It is exceptionally adaptable and superb for a wide range of uses.

Robust frameworks

Python is known for its tools and frameworks. There's a structure for everything. Django is helpful for building web applications, venture applications, logical applications, and mathematical processing. Flask is another web improvement framework with no conditions.

Web2Py, CherryPy, and Falcon offer incredible capabilities to customize Python development services. A large portion of them are open-source frameworks that allow quick turn of events.

Python has an improved sentence structure - one that is like the English language. New engineers for Python can undoubtedly understand where they stand in the development process. The simplicity of composing allows quick application building.

The motivation behind building Python, as said by its maker Guido Van Rossum, was to empower even beginner engineers to comprehend the programming language. The simple coding likewise permits developers to roll out speedy improvements without getting confused by pointless subtleties.

Utilized by the best

Alright - Python isn't simply one more programming language. It should have something, which is the reason the business giants use it. Furthermore, that too for different purposes. Developers at Google use Python to assemble framework organization systems, parallel information pusher, code audit, testing and QA, and substantially more. Netflix utilizes Python web development services for its recommendation algorithm and media player.

Massive community support

Python has a steadily developing community that offers enormous help. From amateurs to specialists, there's everybody. There are a lot of instructional exercises, documentation, and guides accessible for Python web development solutions.

Today, numerous universities start with Python, adding to the quantity of individuals in the community. Frequently, Python designers team up on various tasks and help each other with algorithmic, utilitarian, and application critical thinking.

Progressive applications

Python is the greatest supporter of data science, Machine Learning, and Artificial Intelligence at any enterprise software development company. Its utilization cases in cutting edge applications are the most compelling motivation for its prosperity. Python is the second most well known tool after R for data analytics.

The simplicity of getting sorted out, overseeing, and visualizing information through unique libraries makes it ideal for data based applications. TensorFlow for neural networks and OpenCV for computer vision are two of Python's most well known use cases for Machine learning applications.

Summary

Thinking about the advances in programming and innovation, Python is a YES for an assorted scope of utilizations. Game development, web application development services, GUI advancement, ML and AI improvement, Enterprise and customer applications - every one of them uses Python to its full potential.

The disadvantages of Python web improvement arrangements are regularly disregarded by developers and organizations because of the advantages it gives. They focus on quality over speed and performance over blunders. That is the reason it's a good idea to utilize Python for building the applications of the future.

#python development services #python development company #python app development #python development #python in web development #python software development

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Deep Learning Project : Real Time Object Detection in Python & Opencv

Real Time Object Detection in Python And OpenCV

I’m on Instagram as @knowledge_doctor.

https://www.instagram.com/invites/contact/?i=f9n3ongbu8ma&utm_content=jresydt

#python project #object detection #python opencv #opencv object detection #object detection in python #python opencv for object detection

1594820760

Forecasting

**Forecasting **is one of the process of predicting the future based on past and present data. Most of the forecasting problem associated with time series data (i.e. what is the sale of product A next month).Some problems can be easier to forecast than others. The predictability of an event or a quantity depends on several factors, some are:

1. understanding of the factors contribute to the result;data availability;forecasting technique or learning algorithm.

Often, there are many methods in solving forecast accurately, good forecasts capture the genuine patterns and relationships which exist in the historical data, but do not replicate past events that will not occur again.

Seasonality and use cases

In time series data, seasonality refers to the presence of some certain regular intervals, or predictable cyclic variation depending on the specific time frame (i.e. weekly basis, monthly basis). Some examples of seasonality is higher sales during Christmas, higher bookings during holiday period.

#machine-learning #time-series-analysis #fourier-transform #artificial-intelligence #python