SKU: 44291541131

COMP Cams Camshaft Kit BV69 268H SK69-246-4

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Description

COMP Cams Camshaft Kit BV69 268H SK69-246-4COMP Cams Camshafts SK69 246 4 CamShaft Kit, BV69 268H Performance cam for the street. Mild choppy idle. Likes lower gears. COMP Cams Camshaft Kit BV69 268H Vehicle Fitments: Year Make Model Submodel 1977 1987 Buick Century Custom, Base 1980 1984 Buick Century Estate 1985 1987 Buick Century Estate Wagon 1978 1987 Buick Century Limited 1984 Buick Century Olympia Limited 1977 1979 Buick Century Special 1978 1981 Buick Century Sport 1986 Buick Century SS

COMP Cams Camshafts SK69-246-4 CamShaft Kit, BV69 268H Performance cam for the street. Mild choppy idle. Likes lower gears. COMP Cams Camshaft Kit BV69 268H

Vehicle Fitments:

Year Make Model Submodel
1977 - 1987 Buick Century Custom, Base
1980 - 1984 Buick Century Estate
1985 - 1987 Buick Century Estate Wagon
1978 - 1987 Buick Century Limited
1984 Buick Century Olympia Limited
1977 - 1979 Buick Century Special
1978 - 1981 Buick Century Sport
1986 Buick Century SS
1983 - 1986 Buick Century T-Type
1980 - 1987 Buick Electra Park Avenue, Estate Wagon, Limited
1985 - 1987 Buick Electra T-Type
1977 - 1987 Buick LeSabre Base, Custom
1985 Buick LeSabre Collector's Edition
1977 Buick LeSabre Custom Sport
1985 - 1987 Buick LeSabre Estate Wagon
1979 - 1987 Buick LeSabre Limited
1982 Buick LeSabre Limited Edition F/E
1978 - 1981 Buick LeSabre Sport
1987 Buick LeSabre T-Type
1977 - 1987 Buick Regal Base
1982 - 1983 Buick Regal Estate Wagon
1987 Buick Regal GNX
1984 - 1987 Buick Regal Grand National
1978 - 1987 Buick Regal Limited
1982 Buick Regal Limited Turbo
1978 - 1982 Buick Regal Sport
1977 Buick Regal SR
1983 - 1986 Buick Regal T-Type
1979 - 1985 Buick Riviera Base
1982 Buick Riviera Limited Edition
1983 - 1987 Buick Riviera Luxury
1979 - 1980 Buick Riviera S
1981 - 1987 Buick Riviera T-Type
1983 Buick Riviera XX Anniversary Edition
1977 - 1980 Buick Skyhawk Base, S
1980 Buick Skyhawk Designers' Accent Edition
1979 - 1980 Buick Skyhawk Road Hawk
1977 - 1979 Buick Skylark Base, S
1978 - 1988 Buick Skylark Custom
1986 - 1988 Buick Skylark Limited
1978 Buick Skylark Sport
1977 Buick Skylark SR
1986 - 1987 Buick Somerset Limited, Custom
1986 Buick Somerset T-Type
1985 Buick Somerset Regal Limited, Base
1980 - 1982 Cadillac DeVille d'Elegance, Cabriolet, Base
1981 Cadillac Eldorado Brougham d'Elegance
1981 - 1982 Cadillac Eldorado Cabriolet, Biarritz, Base
1982 Cadillac Eldorado Touring
1980 - 1982 Cadillac Fleetwood Formal, Brougham d'Elegance, Base, Brougham
1981 - 1982 Cadillac Seville Base, Elegante
1980 - 1981 Chevrolet Camaro Berlinetta, Z28
1980 Chevrolet Camaro Rally Sport, Base
1981 Chevrolet Camaro Sport
1980 - 1982 Chevrolet Caprice Base
1980 - 1984 Chevrolet Caprice Classic
1981 - 1982 Chevrolet Caprice Classic Estate
1980 - 1981 Chevrolet Caprice Classic Landau
1980 Chevrolet Caprice Classic Sport
1978 - 1984 Chevrolet El Camino Conquista, SS, Base
1979 - 1981 Chevrolet El Camino Royal Knight
1980 - 1984 Chevrolet Impala Base
1981 - 1982 Chevrolet Impala Estate
1980 Chevrolet Impala Sport
1978 - 1981 Chevrolet Malibu Base, Classic Landau
1978 - 1983 Chevrolet Malibu Classic
1978 - 1980 Chevrolet Malibu Classic Estate
1979 Chevrolet Malibu Police, Landau
1979 - 1980 Chevrolet Malibu Sport, Classic Sport, Estate
1979 - 1984 Chevrolet Monte Carlo Base
1983 Chevrolet Monte Carlo CL
1978 - 1981 Chevrolet Monte Carlo Landau
1978 - 1980 Chevrolet Monte Carlo Sport
1983 - 1984 Chevrolet Monte Carlo SS
1978 - 1980 Chevrolet Monza 2+2 Spyder, 2+2, Base, 2+2 Sport
1978 - 1979 Chevrolet Monza S
1978 Chevrolet Monza Sport
1980 Chevrolet Monza Spyder
1981 - 1984 GMC Caballero Amarillo
1978 - 1984 GMC Caballero Base, Diablo
1978 - 1980 GMC Caballero Laredo
1981 GMC Caballero Royal Knight, Conquista
1981 Oldsmobile 98 Luxury
1981 - 1987 Oldsmobile 98 Regency
1982 - 1987 Oldsmobile 98 Regency Brougham
1987 Oldsmobile 98 Regency Touring, Regency Grande
1985 Oldsmobile Calais 500
1986 Oldsmobile Calais ES
1986 - 1987 Oldsmobile Calais GT
1985 - 1987 Oldsmobile Calais Supreme, Base
1980 Oldsmobile Cutlass Base
1980 - 1981 Oldsmobile Cutlass LS, Brougham
1977 Oldsmobile Cutlass S, Colonnade S, Colonnade, 442
1981 Oldsmobile Cutlass Supreme
1977 - 1979 Oldsmobile Cutlass Vista Cruiser
1979 Oldsmobile Cutlass Vista Cruiser Brougham
1978 - 1984 Oldsmobile Cutlass Calais Base
1983 - 1984 Oldsmobile Cutlass Calais Hurst
1982 - 1983 Oldsmobile Cutlass Ciera Base
1982 - 1987 Oldsmobile Cutlass Ciera Brougham, LS
1984 - 1985 Oldsmobile Cutlass Ciera Cruiser LS, Cruiser
1983 - 1986 Oldsmobile Cutlass Ciera ES
1985 - 1987 Oldsmobile Cutlass Ciera GT
1985 - 1986 Oldsmobile Cutlass Ciera Holiday
1986 - 1987 Oldsmobile Cutlass Ciera S, SL
1980 - 1982 Oldsmobile Cutlass Cruiser Base
1980 - 1987 Oldsmobile Cutlass Cruiser Brougham
1987 Oldsmobile Cutlass Cruiser LS
1978 - 1986 Oldsmobile Cutlass Salon 442
1978 - 1987 Oldsmobile Cutlass Salon Base
1978 - 1980 Oldsmobile Cutlass Salon Brougham
1979 Oldsmobile Cutlass Salon Hurst
1987 Oldsmobile Cutlass Supreme 442
1977 - 1987 Oldsmobile Cutlass Supreme Base, Brougham
1977 Oldsmobile Cutlass Supreme Colonnade
1981 - 1985 Oldsmobile Cutlass Supreme LS
1977 - 1983 Oldsmobile Delta 88 Base
1980 - 1981 Oldsmobile Delta 88 Holiday
1977 - 1987 Oldsmobile Delta 88 Royale
1980 - 1987 Oldsmobile Delta 88 Royale Brougham
1984 - 1985 Oldsmobile Delta 88 Royale Brougham LS
1978 - 1979 Oldsmobile Omega Brougham LS
1977 - 1979 Oldsmobile Omega Brougham, Base
1977 Oldsmobile Omega F85, Deluxe
1977 - 1978 Oldsmobile Omega SX
1977 - 1980 Oldsmobile Starfire Firenza, Base, GT, SX
1981 - 1987 Oldsmobile Toronado Brougham
1987 Oldsmobile Toronado Trofeo
1981 Oldsmobile Toronado XSC
1980 - 1987 Pontiac Bonneville Base
1980 - 1986 Pontiac Bonneville Brougham
1984 - 1987 Pontiac Bonneville LE
1980 - 1981 Pontiac Bonneville Safari
1977 - 1981 Pontiac Catalina Base, Safari
1977 - 1981 Pontiac Firebird Formula, Esprit, Base, Trans Am
1979 - 1987 Pontiac Grand Am Base
1985 - 1987 Pontiac Grand Am LE
1986 - 1987 Pontiac Grand Am SE
1977 - 1981 Pontiac Grand LeMans Base, LE, Safari
1978 - 1981 Pontiac Grand LeMans SA
1978 - 1987 Pontiac Grand Prix Base
1981 - 1987 Pontiac Grand Prix Brougham
1984 - 1987 Pontiac Grand Prix LE
1978 - 1983 Pontiac Grand Prix LJ
1978 - 1980 Pontiac Grand Prix SJ
1977 - 1981 Pontiac LeMans Base, Safari
1977 Pontiac LeMans Sport Coupe, Sport
1984 Pontiac Parisienne Base, Brougham
1977 - 1979 Pontiac Phoenix Base
1978 - 1979 Pontiac Phoenix SJ, LJ
1977 - 1980 Pontiac Sunbird Base
1978 - 1979 Pontiac Sunbird Safari
1977 Pontiac Ventura Base, SJ
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SKU: 44291541131

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4.6 ★★★★★
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P
Verified Purchase
Par
Fort Morgan, US
★★★★★ 5
Excellent book on ML
Format: Paperback
This is a great book on machine learning. Topics covered are extensive - from beginner level to advanced topics including math behind different algorithms. However, not "all" algorithms are covered. Please go through the table of contents. The first part - 11 chapters - covers machine learning concepts and second part covers advanced topics with Pytorch. There are lots of excellent code and they work!! The quality of the book I received is excellent. I have gone through all 742 pages, and it has held up very well!! I used Jupyter notebook to run all examples. I created a new notebook and copied and pasted the code and ran them. This approach worked very well for me. At the same time, I could experiment with my take on the code snippets and definitely added to my knowledge. Only issue I have is on the second part of the book discussing PyTorch: (1) Some packages are a bit older version: e.g., transformer 4.9.1 whereas current version is 4.48+. It took some tweaking/recoding to get the examples working. (2) There is not much discussion on why certain architecture was chosen - e.g., number of layers, is there a rule of thumb on how to improve performance by changing these parameters? Even with CUDA the code run for a long time. Therefore, experimenting with different values of parameters become too time consuming. (3) On the same note, if I can achieve test accuracy of 90%+ using logistic regression and almost the same (perhaps one or two percent better with PyTorch with IMDB movie review dataset and that two much faster why should I use PyTorch for this dataset? Obviously, PyTorch is for certain types of problems. Discussions can be included by not adding to the exhaustive (and apt) contents. Personally I was disappointed by lack of any example on time series. Must have for ML practitioner as a reference and guide.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 20, 2024
R
Verified Purchase
Richard Hackathorn
Lexington, US
★★★★★ 5
Excellent Textbook for Hands-On Learning of ML
Format: Kindle
This textbook is for the serious life-long learners of machine learning. There are at least two ways to ‘consume’ this book. For the expert in ML, this is a textbook to study as a clear comprehensive ML overview and then to dive into sections of interest or ignorance. The concepts are grounded in code examples and are well cited (with links) to sources. Further, this textbook is appropriate if you are TensorFlow-centric and want to broaden into cutting-edge ML models/tools coded in PyTorch. For a new learner to ML, this is a textbook to DO (not just READ) with hands-on and brain-engaged. If you realize that ML is a key life-long skill for your career, consider this textbook as part of a daily learning habit (10-30 min). From personal experience, my advice to the new learner is as follows… First, clone the GitHub repository, setup your Python environment, and study the textbook, while working through the notebooks. Go on tangents and break the code. Do this methodically as part of your daily learning habit, but do not hesitate to jump ahead several chapters to prepare for tomorrow’s meeting. There is enough excellent material here for a full year of ML adventures. I did a similar strategy with Raschka’s first textbook. About four years ago, I had finished Andrew Ng’s Deep Learning Specialization as a student in his first cohort. I knew the concepts well but could not do the actual application coding. I was surprised how my Python coding improved by following Raschka’s clean and elegant style. And Raschka’s code examples were meaty enough to be springboards into working applications. Several textbook editions later, what is different about this new edition? First, it moves you through scikit-Learn (a firm foundation) to PyTorch, instead of TensorFlow. PyTorch is a better stepping-stone, both conceptually and practically. With PyTorch, you will go further with less energy, while being able to convert your efforts into TensorFlow as needed. In addition, most of the cutting-edge ML/AI/DL research is in PyTorch. It is nice to read a recent arXiv paper, clone their repository, click on the Colab tutorial, and replicate their experiments, along with picking up a ton of new coding tricks & tips. I am excited to work through these PyTorch sections to hone my skills. Second, there is a clear recognition of model tracking and tuning practices. This is often a gap in other ML textbooks and courses. Once you progress beyond the simple demo examples in a lecture, you realize that the real work is experiments, more experiments, and still more experiments, so that you must understand what the model architecture and hyperparameters are doing to your dataset. There is good coverage of scikit-Learn pipeline, grid search, model performance, and the like. Third, ML/AI/DL practice is rapidly evolving. Every week new ML packages/services become available that could save much grief on your current project. What is refreshing about Raschka’s textbook series is that he constantly adding cutting-edge topics because he likes to stay current and to help us stay current. Hence, this edition contains recent ML treats as: transformers, self-supervised learning, autoencoders-to-GAN, graph neural networks, DBSCAN, t-SNE (with brief mention of UMAP), and PyTorch-Lightning.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 26, 2022
A
Verified Purchase
Amazon Customer
Lake Worth, US
★★★★★ 4
Just learning it
Format: Paperback
Nice learning book just have to finish it
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 10, 2025
K
Verified Purchase
Kindle Customer
Waukegan, US
★★★★★ 5
Very useful book
Format: Paperback
I use it for the machine learning class I teach.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 3, 2026
T
Verified Purchase
Tommy Jonsson
Louisville, US
★★★★★ 5
Cover many areas in detail and recommendations for more to read for what's outside
Format: Paperback
Good book!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 4, 2026

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