Need help with Project Phase 3. I have attached Phase 2 for reference. Need a report and a presentation. Colleagues are working on the high fidelity so just need place holders for that.

I am seeking guidance regarding my current emotional situation following a change in a past relationship. Although the circumstances between us are no longer the same, I continue to hold on to my feelings for that person.

I acknowledge that I made certain mistakes in the past and did not always express my care and appreciation in the way I should have. With time and reflection, I have come to better understand the value of what we shared and the significance of that person in my life.

Despite this, I still find it difficult to let go. I occasionally experience feelings of jealousy, not out of possessiveness, but because my emotions remain genuine. The effort we both invested in the relationship, along with the kind of love I experienced, has made it challenging for me to move forward.

At present, I am uncertain whether holding on to these feelings is healthy or

COPIES (ONE WORD FILE AND ONE PDF FILE)USING THE ASSIGNMENT TEMPLATE ON BLACKBOARD VIA THE ALLOCATED FOLDER. THESE FILES MUST NOT BE IN COMPRESSED FORMAT.

It is your responsibility to check and make sure that you have uploaded both the correct files.

ZERO MARK WILL BE GIVEN IF YOU TRY TO BYPASS THE SAFEASSIGN (E.G. MISSPELL WORDS, REMOVE SPACES BETWEEN WORDS, HIDE CHARACTERS, USE DIFFERENT CHARACTER SETS OR LANGUAGES OTHER THAN ENGLISH OR ANY KIND OF MANIPULATION).

EMAIL SUBMISSION WILL NOT BE ACCEPTED.

YOU ARE ADVISED TO MAKE YOUR WORK CLEAR AND WELL-PRESENTED. THIS INCLUDES FILLING YOUR INFORMATION ON THE COVER PAGE.

YOU MUST USE THIS TEMPLATE, FAILING WHICH WILL RESULT IN ZERO MARK.

YOU MUST SHOW ALL YOUR WORK, AND TEXT MUST NOT BE CONVERTED INTO AN IMAGE, UNLESS SPECIFIED OTHERWISE BY THE QUESTION.

LATE SUBMISSION WILL RESULT IN ZERO MARK.

THE WORK SHOULD BE YOUR OWN, COPYING FROM STUDENTS OR OTHER RESOURCES WILL RESULT IN ZERO MARK.

USE TIMES NEW ROMAN FONT FOR ALL YOUR ANSWERS.

I NEED IT DONE WELL

I NEED IT DONE WELL

The interface is clearly designed for submitting academic questions and getting help from tutors

If you throw rubbish into the river it can cause flooding

I want you to make chapter 5 of the project, I will give you the project idea and the file we have been working on and you should put text diagrams and photos and prepare it just like the guys did before chapter 5 you have instructions inside the file

Course Overview and Introduction to Python for Data Science

* Python is the most preferred language for data science due to its simplicity, clean syntax, large community, and powerful libraries (NumPy, Pandas, Matplotlib, etc.).

* The course covers Python fundamentals (variables, data types, loops, conditionals, functions), advanced topics (memory management, file handling, error handling, OOP), and hands-on experience with data science libraries.

* Python is versatile, used in web development, AI, machine learning, automation, and data analysis.

* Learning Python by doing is emphasized, starting with basics and progressing to complex projects.

* Intellipaat offers a comprehensive data science course in collaboration with iHub, IIT Roorkee.

Python Basics and Concepts

Python vs Other Languages

* Python is interpreted (runs line-by-line), making debugging easier.

* Compiler-based languages translate entire source code at once, are faster in computation but less flexible in debugging.

* Python is less memory efficient than compiled languages like C, but offers excellent libraries for data science.

* Pythons libraries (NumPy, Pandas, Scikit-learn, Matplotlib) are unmatched in data science compared to C.

* Python has strong community support and continuous updates, making it ideal for AI/ML and LLMs (e.g., ChatGPT).

Variables and Data Types

* Variables are references to objects in memory; objects have unique IDs.

* Python supports multiple data types: numeric (int, float, complex), sequential (list, tuple, dictionary, set), and boolean.

* Variables are case sensitive; naming conventions must be followed (no special characters except underscore, no keywords as variable names).

* Python allows multiple variable assignment in one line.

* Global variables are accessible throughout the program, local variables only within their scope.

Data Types Details

* Numeric: int (unlimited size), float (decimal numbers), complex (numbers with real and imaginary parts).

* Sequential:

List: ordered, mutable, allows duplicates, heterogeneous data.

Tuple: ordered, immutable, allows duplicates, heterogeneous.

Set: unordered, mutable, no duplicates.

Dictionary: key-value pairs, keys unique and immutable, values mutable.

* Boolean: True/False used in logical operations and control flow

Lists and Their Operations

* Lists are fundamental data structures, declared with square brackets.

*

* Indexing starts at 0; negative indexing accesses from the end (-1 last element).

* Slicing syntax: list[start:stop:step] (start included, stop excluded, step default 1).

* Lists are mutable: elements can be added, updated, or removed.

* Key list methods:

append(): adds a single element at the end.

extend(): adds elements from another iterable.

insert(index, value): inserts element at a specific position.

remove(value): removes first occurrence of value.

pop(index): removes and returns element at index (default last).

clear(): empties the list.

sort(): sorts the list in place.

reverse(): reverses the list in place

count(value): counts occurrences of value.

* Copying lists: assignment copies reference; copy() creates shallow copy; deepcopy() creates independent copy.

* Identity and equality: two lists wit

h same content are equal but have different IDs; small integers are interned (same ID).

(How do programming languages influence the way developers solve problems?)