Python Articles

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Save and Load Models in Tensorflow

Hillol Modak
Hillol Modak
Updated on 10-Oct-2023 357 Views

The Importance of Saving and Loading Models in Tensorflow Saving and loading models in TensorFlow is crucial for several reasons − Preserving Trained Parameters − Saving a trained model allows you to keep the learned parameters, such as weights and biases, obtained through extensive training. These parameters capture the knowledge gained during the training process, and by saving them, you ensure that this valuable information is recovered. Reusability − Saved models can be reused for various purposes. Once a demonstration is spared, it can be stacked and utilized for making forecasts on new information without retraining the show. This ...

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How to do exponential and logarithmic curve fitting in Python?

Hillol Modak
Hillol Modak
Updated on 10-Oct-2023 2K+ Views

Introduction on Exponential and Logarithmic Curve Fitting Exponential and logarithmic bend fitting are scientific procedures utilized to discover the best-fitting bends for a given set of information focuses that show exponential development or rot (within the case of exponential bend fitting) or a logarithmic relationship (within the case of logarithmic bend fitting). These methods permit us to demonstrate and get the fundamental designs and patterns inside the information. Exponential Bend Fitting Exponential capacities have the shape y = ae^(bx), where 'a' and 'b' are constants, 'e' speaks to Euler's number (around 2.71828), and 'x' is the free variable. Exponential bend ...

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Building Naive Bayesian classifier with WEKA in machine learning

Hillol Modak
Hillol Modak
Updated on 10-Oct-2023 1K+ Views

Introduction on Naive Bayesian The Naive Bayesian classifier may be a primary, however viable probabilistic classifier based on Bayes' hypothesis. It expects that all highlights are autonomous of each other given the course variable, thus the term "naive." Despite this disentangling presumption, the classifier performs astoundingly well in numerous real-world applications. It calculates the likelihood of a given occasion having a place in each lesson and allocates the event to the class with the most elevated probability. The Gullible Bayesian classifier is especially valuable when managing expansive datasets and content classification errands, such as spam location or assumption investigation. WEKA ...

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Python - Remove given element from list of lists

Arpana Jain
Arpana Jain
Updated on 09-Oct-2023 1K+ Views

Introduction Python's simplicity and readability have made it a versatile programming language. Python extensively supports lists and enables their manipulation, making it a powerful feature. A list is a common data structure in Python. The collection can have elements of any data type. Today we will explain how to delete a particular element from a list that contains lists in Python and examine two methods for deleting an item from a list of lists using Python. We will provide executable code examples and their outputs as well. Developers can conveniently customize their data structures by removing specific elements with ease. ...

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Python-Remove element of list that are repeated less than k times

Arpana Jain
Arpana Jain
Updated on 09-Oct-2023 243 Views

Introduction In today’s immensely emerging world, one thing which is very precious is data. Data is very powerful, due to this many of the techniques were introduced so, that this data can be secured. In this field of data, data processing also plays one of the important roles, where filtering out of the unnecessary data and gathering the required data, for further use and to perform operations on it. One common thing is to remove elements from a list that are repeated less than certain times denoted as ‘k’. This article aims to provide you a smooth and context ...

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Python - Remove Keys from dictionary starting with K

Arpana Jain
Arpana Jain
Updated on 09-Oct-2023 262 Views

Introduction Python is a popular and robust programming language known for its versatility, ease of learning, and extensive library and tool ecosystem suitable for diverse applications. Dictionaries are ⁠ a vital data type in Python that enables the storage and manipulation of key-value pairs, making them one of the most significant features of the language.   Removing Keys from dictionary starting with letter ‘K’ Definition The keys possess characteristics of uniqueness, immutability, and ⁠ serve the purpose of accessing respective values. Deleting key−value pairs from a dictionary involves removing specific keys based ⁠ on certain conditions, like starting with a specific character Syntax ...

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Python - Remove item from dictionary when key is unknown

Arpana Jain
Arpana Jain
Updated on 09-Oct-2023 234 Views

Introduction Dictionaries in Python are a widely employed data structure that provide versatility by enabling storage of key−value pairs. The sentence 'They offer an efficient means of accessing and manipulating data.' When dealing with dictionaries, there could be cases where you require eliminating an element when the key is unidentified. In this article, various methodologies will be examined to address this issue, including accompanying code samples and explanations. Definition Python implements dictionaries as hash tables, enabling efficient value retrieval based on a specific key. The key associated with the item is required in order to remove an item from ...

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Python - Remove Initial K column elements

Arpana Jain
Arpana Jain
Updated on 09-Oct-2023 154 Views

Introduction The focus of this article is to investigate the process of eliminating the first column elements beginning with K using Python. Thereby, let us examine the specifics. Definition The process of discarding the first K elements from every column of a provided dataset or array is what is meant by removing initial K column elements. A frequently employed technique in data preprocessing involves eliminating extraneous or insignificant information located at the start of each column. The utilization of this procedure can be advantageous in multiple circumstances. Instances of this include deleting header rows in a CSV file or eradicating ...

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Python - Remove Front K elements

Arpana Jain
Arpana Jain
Updated on 09-Oct-2023 250 Views

Introduction Its simplicity and versatility make Python a popular programming language. A frequently performed task in data manipulation involves removing elements from a list according to specific conditions. If you want to filter out specific values or extract a subset of data, you can do it. These goals can be efficiently achieved by Python. This article will investigate the process of removing the first K elements from a list that adhere to a provided condition. We can streamline the process and enhance our data processing workflows by using Python's expressive syntax and powerful features. We will explore the problem's definition ...

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Python - Remove first K elements matching some condition

Arpana Jain
Arpana Jain
Updated on 09-Oct-2023 177 Views

Introduction Python, an interpreted programming language at a high level, is extensively utilized in various domains including web development, scientific computing, data analysis, and artificial intelligence among other applications. A range of objectives can be accomplished by utilizing this adaptable language. The list is considered one of the most beneficial data structures available in Python. A group of items with varying data types is what comprises it. Python is an adaptable and robust coding language that provides an extensive array of utilities and modules for diverse assignments. A frequent duty while dealing with data involves eliminating elements from a ...

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